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analytics</title> <meta name="description" content="Search results for: sports analytics"> <meta name="keywords" content="sports analytics"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="sports analytics"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1067</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: sports analytics</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1067</span> A Case Study of Business Analytic Use in European Football: Analysis and Implications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Schloesser">M. C. Schloesser</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to explore the use and impact of business analytics in European football. Despite good evidence from other major sports leagues, research on this topic in Europe is currently very scarce. This research relies on expert interviews on the use and objective of business analytics. Along with revenue data over 16 seasons spanning from 2004/05 to 2019/20 from Manchester City FC, we conducted a time series analysis to detect a structural breakpoint on the different revenue streams, i.e., sponsorship and ticketing, after analytical tools have been implemented. We not only find that business analytics have indeed been applied at Manchester City FC and revenue increase is the main objective of their utilization but also that business analytics is indeed a good means to increase revenues if applied sufficiently. We can thereby support findings from other sports leagues. Consequently, professional sports organizations are advised to apply business analytics if they aim to increase revenues. This research has shown that analytical practices do, in fact, support revenue growth and help to work more efficiently. As the knowledge of analytical practices is very confidential and not publicly available, we had to select one club as a case study which can be considered a research limitation. Other practitioners should explore other clubs or leagues. Further, there are other factors that can lead to increased revenues that need to be considered. Additionally, sports organizations need resources to be able to apply and utilize business analytics. Consequently, findings might only apply to the top teams of the European football leagues. Nonetheless, this paper combines insights and results on usage, objectives, and impact of business analytics in European professional football and thereby fills a current research gap. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=business%20analytics" title="business analytics">business analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=expert%20interviews" title=" expert interviews"> expert interviews</a>, <a href="https://publications.waset.org/abstracts/search?q=revenue%20management" title=" revenue management"> revenue management</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20series%20analysis" title=" time series analysis"> time series analysis</a> </p> <a href="https://publications.waset.org/abstracts/167548/a-case-study-of-business-analytic-use-in-european-football-analysis-and-implications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167548.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1066</span> Using Machine Learning to Enhance Win Ratio for College Ice Hockey Teams</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadixa%20Sanjel">Sadixa Sanjel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Sadek"> Ahmed Sadek</a>, <a href="https://publications.waset.org/abstracts/search?q=Naseef%20Mansoor"> Naseef Mansoor</a>, <a href="https://publications.waset.org/abstracts/search?q=Zelalem%20Denekew"> Zelalem Denekew</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Collegiate ice hockey (NCAA) sports analytics is different from the national level hockey (NHL). We apply and compare multiple machine learning models such as Linear Regression, Random Forest, and Neural Networks to predict the win ratio for a team based on their statistics. Data exploration helps determine which statistics are most useful in increasing the win ratio, which would be beneficial to coaches and team managers. We ran experiments to select the best model and chose Random Forest as the best performing. We conclude with how to bridge the gap between the college and national levels of sports analytics and the use of machine learning to enhance team performance despite not having a lot of metrics or budget for automatic tracking. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NCAA" title="NCAA">NCAA</a>, <a href="https://publications.waset.org/abstracts/search?q=NHL" title=" NHL"> NHL</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20analytics" title=" sports analytics"> sports analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20forest" title=" random forest"> random forest</a>, <a href="https://publications.waset.org/abstracts/search?q=regression" title=" regression"> regression</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=game%20predictions" title=" game predictions"> game predictions</a> </p> <a href="https://publications.waset.org/abstracts/149964/using-machine-learning-to-enhance-win-ratio-for-college-ice-hockey-teams" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149964.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">114</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1065</span> Sports Development in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bakari%20Mohammed">Bakari Mohammed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sports performance and achievements have been the avenue through which great nations of the world exhibit their supremacy over others through sports development strategy. Effective sports development, therefore, requires variables like sports policy, sports funding, sports programme, sports facilities and sponsorship. The extent to what these variables are met shall no doubt affects the effectiveness of any sports development. Two distinguishing features of the Nigerian sports system are its central organization and its employment for specific socio-political objectives, it is against this backdrop that this paper will x-ray the politicization of sports which parallels sports development in the enhanced role of sports and in contrast with developed nations system and management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sport%20development" title="sport development">sport development</a>, <a href="https://publications.waset.org/abstracts/search?q=sport%20policy" title=" sport policy"> sport policy</a>, <a href="https://publications.waset.org/abstracts/search?q=personnel" title=" personnel"> personnel</a>, <a href="https://publications.waset.org/abstracts/search?q=program" title=" program"> program</a>, <a href="https://publications.waset.org/abstracts/search?q=facilities" title=" facilities"> facilities</a>, <a href="https://publications.waset.org/abstracts/search?q=funding" title=" funding"> funding</a>, <a href="https://publications.waset.org/abstracts/search?q=sponsorship" title=" sponsorship"> sponsorship</a> </p> <a href="https://publications.waset.org/abstracts/35152/sports-development-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35152.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">524</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1064</span> Leveraging Learning Analytics to Inform Learning Design in Higher Education</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mingming%20Jiang">Mingming Jiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This literature review aims to offer an overview of existing research on learning analytics and learning design, the alignment between the two, and how learning analytics has been leveraged to inform learning design in higher education. Current research suggests a need to create more alignment and integration between learning analytics and learning design in order to not only ground learning analytics on learning sciences but also enable data-driven decisions in learning design to improve learning outcomes. In addition, multiple conceptual frameworks have been proposed to enhance the synergy and alignment between learning analytics and learning design. Future research should explore this synergy further in the unique context of higher education, identifying learning analytics metrics in higher education that can offer insight into learning processes, evaluating the effect of learning analytics outcomes on learning design decision-making in higher education, and designing learning environments in higher education that make the capturing and deployment of learning analytics outcomes more efficient. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=learning%20analytics" title="learning analytics">learning analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20design" title=" learning design"> learning design</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20in%20higher%20education" title=" big data in higher education"> big data in higher education</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20learning%20environments" title=" online learning environments"> online learning environments</a> </p> <a href="https://publications.waset.org/abstracts/149822/leveraging-learning-analytics-to-inform-learning-design-in-higher-education" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149822.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1063</span> Cricket Shot Recognition using Conditional Directed Spatial-Temporal Graph Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tanu%20Aneja">Tanu Aneja</a>, <a href="https://publications.waset.org/abstracts/search?q=Harsha%20Malaviya"> Harsha Malaviya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Capturing pose information in cricket shots poses several challenges, such as low-resolution videos, noisy data, and joint occlusions caused by the nature of the shots. In response to these challenges, we propose a CondDGConv-based framework specifically for cricket shot prediction. By analyzing the spatial-temporal relationships in batsman shot sequences from an annotated 2D cricket dataset, our model achieves a 97% accuracy in predicting shot types. This performance is made possible by conditioning the graph network on batsman 2D poses, allowing for precise prediction of shot outcomes based on pose dynamics. Our approach highlights the potential for enhancing shot prediction in cricket analytics, offering a robust solution for overcoming pose-related challenges in sports analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=action%20recognition" title="action recognition">action recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=cricket.%20sports%20video%20analytics" title=" cricket. sports video analytics"> cricket. sports video analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20convolutional%20networks" title=" graph convolutional networks"> graph convolutional networks</a> </p> <a href="https://publications.waset.org/abstracts/192975/cricket-shot-recognition-using-conditional-directed-spatial-temporal-graph-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192975.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">18</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1062</span> New Approach in Sports Management of Great Sports Events </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Taieb%20Kherafa%20Noureddine">Taieb Kherafa Noureddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents a new approach regarding the management in sports that is based on the principles of reengineering. Applying that modern and pure management system, called reengineering, in sports activity, we hope to get better and better results, in order to increase both the health state and the performances of trained athletes. The paper also presents the similarities between BPR (Business Process Reengineering) and sports managements, as well as the proposed solution for a proper implementation of such model of management. The five components of the basic BPR model are presented, together with their features for sports management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=business%20process%20reengineering" title="business process reengineering">business process reengineering</a>, <a href="https://publications.waset.org/abstracts/search?q=great%20sports%20events" title=" great sports events"> great sports events</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20management" title=" sports management"> sports management</a>, <a href="https://publications.waset.org/abstracts/search?q=training%20activities" title=" training activities"> training activities</a> </p> <a href="https://publications.waset.org/abstracts/19694/new-approach-in-sports-management-of-great-sports-events" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19694.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">492</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1061</span> A Machine Learning Decision Support Framework for Industrial Engineering Purposes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anli%20Du%20Preez">Anli Du Preez</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Bekker"> James Bekker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data is currently one of the most critical and influential emerging technologies. However, the true potential of data is yet to be exploited since, currently, about 1% of generated data are ever actually analyzed for value creation. There is a data gap where data is not explored due to the lack of data analytics infrastructure and the required data analytics skills. This study developed a decision support framework for data analytics by following Jabareen’s framework development methodology. The study focused on machine learning algorithms, which is a subset of data analytics. The developed framework is designed to assist data analysts with little experience, in choosing the appropriate machine learning algorithm given the purpose of their application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Data%20analytics" title="Data analytics">Data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=Industrial%20engineering" title=" Industrial engineering"> Industrial engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=Machine%20learning" title=" Machine learning"> Machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=Value%20creation" title=" Value creation"> Value creation</a> </p> <a href="https://publications.waset.org/abstracts/116912/a-machine-learning-decision-support-framework-for-industrial-engineering-purposes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/116912.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">168</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1060</span> Applications of Big Data in Education</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faisal%20Kalota">Faisal Kalota</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Big Data and analytics have gained a huge momentum in recent years. Big Data feeds into the field of Learning Analytics (LA) that may allow academic institutions to better understand the learners’ needs and proactively address them. Hence, it is important to have an understanding of Big Data and its applications. The purpose of this descriptive paper is to provide an overview of Big Data, the technologies used in Big Data, and some of the applications of Big Data in education. Additionally, it discusses some of the concerns related to Big Data and current research trends. While Big Data can provide big benefits, it is important that institutions understand their own needs, infrastructure, resources, and limitation before jumping on the Big Data bandwagon. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20analytics" title=" learning analytics"> learning analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=analytics" title=" analytics"> analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20in%20education" title=" big data in education"> big data in education</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadoop" title=" Hadoop "> Hadoop </a> </p> <a href="https://publications.waset.org/abstracts/27525/applications-of-big-data-in-education" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27525.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">426</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1059</span> Sports for the Children with Autism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20A.%20Abdelnaby">Mohamed A. Abdelnaby</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Relevance of the research: A few people known about Autism and also about Sports for Autism. Children with Autism have difficult experience with sport that makes many problems during the sports activities. There are several areas of motor skills development essential for participating daily life and several sports activities. The object of the research is describe the program for the sports activities for children with Autism, and the aim is to improving their movement skills, motor skills and social skills. Research methods and organization: Twenty-five children with Autism perceived barriers to sports activities participation, and functioning. All the program inside the Pegasus Dreamland Sports Club and all the facilities available for the research. Results and discussion: Standard, children were reported to meet or exceeded general PA occurrence guidelines, belonged to active participated in a variety of sports activities. We identified several barriers to optimal sports activities for their children. Conclusions: Children with Autism can achieve optimal sports activities. Exposure to a variety of sports activities opportunities and experiences aids in identifying the model activity for each individual child. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autism" title="autism">autism</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20activates" title=" sports activates"> sports activates</a>, <a href="https://publications.waset.org/abstracts/search?q=movement%20skills" title=" movement skills"> movement skills</a>, <a href="https://publications.waset.org/abstracts/search?q=motor%20skills" title=" motor skills "> motor skills </a> </p> <a href="https://publications.waset.org/abstracts/26865/sports-for-the-children-with-autism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">552</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1058</span> Predicting Match Outcomes in Team Sport via Machine Learning: Evidence from National Basketball Association</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jacky%20Liu">Jacky Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper develops a team sports outcome prediction system with potential for wide-ranging applications across various disciplines. Despite significant advancements in predictive analytics, existing studies in sports outcome predictions possess considerable limitations, including insufficient feature engineering and underutilization of advanced machine learning techniques, among others. To address these issues, we extend the Sports Cross Industry Standard Process for Data Mining (SRP-CRISP-DM) framework and propose a unique, comprehensive predictive system, using National Basketball Association (NBA) data as an example to test this extended framework. Our approach follows a holistic methodology in feature engineering, employing both Time Series and Non-Time Series Data, as well as conducting Explanatory Data Analysis and Feature Selection. Furthermore, we contribute to the discourse on target variable choice in team sports outcome prediction, asserting that point spread prediction yields higher profits as opposed to game-winner predictions. Using machine learning algorithms, particularly XGBoost, results in a significant improvement in predictive accuracy of team sports outcomes. Applied to point spread betting strategies, it offers an astounding annual return of approximately 900% on an initial investment of $100. Our findings not only contribute to academic literature, but have critical practical implications for sports betting. Our study advances the understanding of team sports outcome prediction a burgeoning are in complex system predictions and pave the way for potential profitability and more informed decision making in sports betting markets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=team%20sports" title=" team sports"> team sports</a>, <a href="https://publications.waset.org/abstracts/search?q=game%20outcome%20prediction" title=" game outcome prediction"> game outcome prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20betting" title=" sports betting"> sports betting</a>, <a href="https://publications.waset.org/abstracts/search?q=profits%20simulation" title=" profits simulation"> profits simulation</a> </p> <a href="https://publications.waset.org/abstracts/169745/predicting-match-outcomes-in-team-sport-via-machine-learning-evidence-from-national-basketball-association" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169745.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">102</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1057</span> A Study on Big Data Analytics, Applications and Challenges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chhavi%20Rana">Chhavi Rana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the paper is to highlight the existing development in the field of big data analytics. Applications like bioinformatics, smart infrastructure projects, Healthcare, and business intelligence contain voluminous and incremental data, which is hard to organise and analyse and can be dealt with using the framework and model in this field of study. An organization's decision-making strategy can be enhanced using big data analytics and applying different machine learning techniques and statistical tools on such complex data sets that will consequently make better things for society. This paper reviews the current state of the art in this field of study as well as different application domains of big data analytics. It also elaborates on various frameworks in the process of Analysis using different machine-learning techniques. Finally, the paper concludes by stating different challenges and issues raised in existing research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20analytics" title=" big data analytics"> big data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=review" title=" review"> review</a> </p> <a href="https://publications.waset.org/abstracts/162947/a-study-on-big-data-analytics-applications-and-challenges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162947.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1056</span> A Study on Big Data Analytics, Applications, and Challenges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chhavi%20Rana">Chhavi Rana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the paper is to highlight the existing development in the field of big data analytics. Applications like bioinformatics, smart infrastructure projects, healthcare, and business intelligence contain voluminous and incremental data which is hard to organise and analyse and can be dealt with using the framework and model in this field of study. An organisation decision-making strategy can be enhanced by using big data analytics and applying different machine learning techniques and statistical tools to such complex data sets that will consequently make better things for society. This paper reviews the current state of the art in this field of study as well as different application domains of big data analytics. It also elaborates various frameworks in the process of analysis using different machine learning techniques. Finally, the paper concludes by stating different challenges and issues raised in existing research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20analytics" title=" big data analytics"> big data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=review" title=" review"> review</a> </p> <a href="https://publications.waset.org/abstracts/150593/a-study-on-big-data-analytics-applications-and-challenges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150593.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">95</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1055</span> Advancing in Cricket Analytics: Novel Approaches for Pitch and Ball Detection Employing OpenCV and YOLOV8</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pratham%20Madnur">Pratham Madnur</a>, <a href="https://publications.waset.org/abstracts/search?q=Prathamkumar%20Shetty"> Prathamkumar Shetty</a>, <a href="https://publications.waset.org/abstracts/search?q=Sneha%20Varur"> Sneha Varur</a>, <a href="https://publications.waset.org/abstracts/search?q=Gouri%20Parashetti"> Gouri Parashetti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to overcome conventional obstacles, this research paper investigates novel approaches for cricket pitch and ball detection that make use of cutting-edge technologies. The research integrates OpenCV for pitch inspection and modifies the YOLOv8 model for cricket ball detection in order to overcome the shortcomings of manual pitch assessment and traditional ball detection techniques. To ensure flexibility in a range of pitch environments, the pitch detection method leverages OpenCV’s color space transformation, contour extraction, and accurate color range defining features. Regarding ball detection, the YOLOv8 model emphasizes the preservation of minor object details to improve accuracy and is specifically trained to the unique properties of cricket balls. The methods are more reliable because of the careful preparation of the datasets, which include novel ball and pitch information. These cutting-edge methods not only improve cricket analytics but also set the stage for flexible methods in more general sports technology applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=OpenCV" title="OpenCV">OpenCV</a>, <a href="https://publications.waset.org/abstracts/search?q=YOLOv8" title=" YOLOv8"> YOLOv8</a>, <a href="https://publications.waset.org/abstracts/search?q=cricket" title=" cricket"> cricket</a>, <a href="https://publications.waset.org/abstracts/search?q=custom%20dataset" title=" custom dataset"> custom dataset</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=sports" title=" sports"> sports</a> </p> <a href="https://publications.waset.org/abstracts/182020/advancing-in-cricket-analytics-novel-approaches-for-pitch-and-ball-detection-employing-opencv-and-yolov8" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182020.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">80</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1054</span> Optimization of Roster Construction In Sports</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elijah%20Cavan">Elijah Cavan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Major League Sports (MLB, NBA, NHL, NFL), it is the Front Office Staff (FOS) who make decisions about who plays for their respective team. The FOS bear the brunt of the responsibility for acquiring players through drafting, trading and signing players in free agency while typically contesting with maximum roster salary constraints. The players themselves are volatile assets of these teams- their value fluctuates with age and performance. A simple comparison can be made when viewing players as assets. The problem here is similar to that of optimizing your investment portfolio. The The goal is ultimately to maximize your periodic returns while tolerating a fixed risk (degree of uncertainty/ potential loss). Each franchise may value assets differently, and some may only tolerate lower risk levels- these are examples of factors that introduce additional constraints into the model. In this talk, we will detail the mathematical formulation of this problem as a constrained optimization problem- which can be solved with classical machine learning methods but is also well posed as a problem to be solved on quantum computers <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimization" title="optimization">optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20mathematics" title=" financial mathematics"> financial mathematics</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20analytics" title=" sports analytics"> sports analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=simulated%20annealing" title=" simulated annealing"> simulated annealing</a> </p> <a href="https://publications.waset.org/abstracts/150014/optimization-of-roster-construction-in-sports" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150014.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1053</span> Intellectual Property Rights Applicability in the Sport Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Poopak%20Dehshahri">Poopak Dehshahri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The applicability of intellectual property rights in the sports industry from the present paper’s perspective includes athletic skills, which are comprised of two parts: athletic movements and athletic methods. Also, the applicability pertaining to the athletes᾽ personality, such as the Name, the Image, the Voice, the Signature and their Shirt Number, are deemed as related to the sports natural persons. Radio and TV broadcasting rights of the sports events, the signs and symbols of the athletic institutions including the sign and symbol, trademark (brand name), the name and the place of residence of the sports clubs, the Sports events and the special sports, special slogan of the sports clubs or sports competitions and the sports clothing design are Included under the athletic institutions᾽ applicability of intellectual property rights. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sport%20industry" title="sport industry">sport industry</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20property" title=" intellectual property"> intellectual property</a>, <a href="https://publications.waset.org/abstracts/search?q=sport%20skills" title=" sport skills"> sport skills</a>, <a href="https://publications.waset.org/abstracts/search?q=right%20to%20fame" title=" right to fame"> right to fame</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20and%20television%20broadcasting%20right" title=" radio and television broadcasting right"> radio and television broadcasting right</a>, <a href="https://publications.waset.org/abstracts/search?q=sport%20sign" title=" sport sign"> sport sign</a> </p> <a href="https://publications.waset.org/abstracts/177560/intellectual-property-rights-applicability-in-the-sport-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177560.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">66</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1052</span> Influence of Branding and Consultancy Services on the Performance of Coaches, Athletes and Sports Managers in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yakubu%20Nkom%20Bityong">Yakubu Nkom Bityong</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20I.%20Kabido"> A. I. Kabido</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Venkateswarlu"> K. Venkateswarlu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The influence of branding and consultancy services on sports development and marketing mix has been a matter of interest among coaches athletes and sports managers in Nigeria. Marketers use sports as a promotional vehicle towards attracting customers to their products and services. The use of images, names, and photographs of sports personalities to advertise beverages, cars, and a whole range of other products and services as it is clearly noticed all over the television, radio and print media has generated a lot of argument among consumers who have vested interest and are more drawn to their favorite teams and sports personalities than they are to many company products This paper examines the influence of branding and consultancy services on sports Performance of coaches, athletes and sports managers in Nigeria. From a population of 7,441 made up of coaches, athletes and sports managers, 372 respondents were sampled for the study. A self developed and standardized questionnaire was the instrument used for data collection. One-tailed t-test was used to test the hypothesis. Results revealed that branding and consultancy services influence the performances of coaches, athletes and sports managers in Nigeria. It was concluded that the establishment of the National Institute of Sports (NIS) in Lagos with affiliated sports training programmes in Nigerian Universities is responsible for boosting the performance of sports personalities in Nigeria. It was recommended that National Policy on Sports should be reviewed in order to inculcate new methods and strategies towards enhancing sports development initiatives in the country while stakeholders should intensify regular training and retraining programmes for coaches, athletes and sports managers to update their knowledge and skills. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=branding" title="branding">branding</a>, <a href="https://publications.waset.org/abstracts/search?q=consultancy" title=" consultancy"> consultancy</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20performance" title=" sports performance"> sports performance</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20development" title=" sports development"> sports development</a> </p> <a href="https://publications.waset.org/abstracts/32030/influence-of-branding-and-consultancy-services-on-the-performance-of-coaches-athletes-and-sports-managers-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32030.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1051</span> Athlete Burnout and Moral Disengagement in Sports</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Min%20Pan">Min Pan</a>, <a href="https://publications.waset.org/abstracts/search?q=An-Hsu%20Chen"> An-Hsu Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Burnout has been proved to be one of the factors that hinder the development and sport performances of athletes while moral disengagement is the psychological mechanism used by athletes to elevate the guilt caused by conducting the anti-social behaviors to gain competitive advantages and in sports which have both been discussed extensively. The sports devaluation in burnout may undermine the sportsmanship of athletes therefore may serve as one of factors of moral disengagement in sports. Nonetheless, the connection between athlete burnout and moral disengagement in sports is yet established. Hence, the study aims to investigate whether there is the correlation between athlete burnout and moral disengagement in sports. Participants of this study are 120 collegiate athletes who specialize in seven different sports (e.g., fence, boxing, taekwondo, and etc.) with average training hours of 3.7 per day and 4.5 days per week. Athlete Burnout Questionnaire and Moral Disengagement in Sports – Short were administrated as the research instruments. Data collected were analyzed with descriptive statistics, t-test, one-way ANOVA, and step-wise regression. The results show, participants demonstrate mild to moderate burnout and moral disengagement in their perspective sports disciplines. Moreover, athletes specialize in different sports experience distinct burnout situations while there is no significant variation of moral disengagement in different sports. It is also found, moral disengagement in sports has significant and positive correlations with emotional and physical exhaustion as well as sports devaluation in athlete burnout. Furthermore, athlete burnout can positively predict moral disengagement in sports while sports devaluation plays an important role within. It can be concluded that, athlete burnout may contribute to their tendency of moral disengagement in sport. By relieving the burnout level may help improve their moral disengagement inclination in sports. The finding may contribute to the current literature regarding athlete burnout and moral disengagement in sports. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=athlete%20burnout" title="athlete burnout">athlete burnout</a>, <a href="https://publications.waset.org/abstracts/search?q=dehumanization" title=" dehumanization"> dehumanization</a>, <a href="https://publications.waset.org/abstracts/search?q=moral%20disengagement" title=" moral disengagement"> moral disengagement</a>, <a href="https://publications.waset.org/abstracts/search?q=reduced%20sense%20of%20accomplishment" title=" reduced sense of accomplishment"> reduced sense of accomplishment</a> </p> <a href="https://publications.waset.org/abstracts/50969/athlete-burnout-and-moral-disengagement-in-sports" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50969.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1050</span> Sports Fans and Non-Interested Public Recognition of the Problems of Sports in Egypt through Caricature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alaaeldin%20Hamdy%20Ahmed%20Mohammed">Alaaeldin Hamdy Ahmed Mohammed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: This study examines sports’ fans and non-interested public perception and recognition of the problems that have negative impacts upon the Egyptian sports, particularly football, through caricatures. Eight caricature paintings were designed to express eight problems affecting the Egyptian sports and its development. These paintings were distributed on two groups of the fans and the non-interested public. Methods: The study was limited to eight caricatures representing the eight issues which are: the impact of stopping the sports activity on athletes, the effect of clubs’ disagreement, fanaticism between the members of the ultras of different clubs, the negative impact of the mingling of politics into sports, the negative role of the clubs affects the professionalism of the promising players, the conflict between the national organization responsible for sports, the breaking in of the fans to the playgrounds, the impact of the lack of planning on the national team. The Results: The results showed that both sports fans and those who are not interested in sports recognized the problems that the caricatures refer to and criticizes exaggeration although the rate was higher for the fans. These caricatures contributed also in their recognition of the danger of the negative impact of these problems on the Egyptian sports, particularly football which is the most common at the Egyptian sports fans. Discussion: This finding echoes the conclusion that caricatures are distinctive in the adults’ facial stimuli that are either systematically exaggerated recognition of them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=caricature" title="caricature">caricature</a>, <a href="https://publications.waset.org/abstracts/search?q=fans" title=" fans"> fans</a>, <a href="https://publications.waset.org/abstracts/search?q=football" title=" football"> football</a>, <a href="https://publications.waset.org/abstracts/search?q=sports" title=" sports"> sports</a> </p> <a href="https://publications.waset.org/abstracts/29492/sports-fans-and-non-interested-public-recognition-of-the-problems-of-sports-in-egypt-through-caricature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29492.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">317</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1049</span> Media Representation and Visibility of Female Athletes in Sporting Events Featuring Both Female and Male Competitors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20A.%20Jennings">L. A. Jennings</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traditional sports media marginalizes or ignores female athletes in their coverage despite increasing numbers of female participation in professional sports. However, in venues in which women and men compete in the same event, such as fighting sports, media coverage of female athletes increases dramatically. Focusing on fighting sports, including boxing, submission wrestling, kickboxing, and Mixed Martial Arts, this paper demonstrates that inclusive venues provide an avenue for female athletes to receive equitable promotion, media coverage, and sponsorship opportunities using data from ESPN, Neilson, the Fan Report, and other emerging sources. This paper further argues that transgendered and nonbinary athletes could thrive in these environments in future sporting activities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sports" title="sports">sports</a>, <a href="https://publications.waset.org/abstracts/search?q=media" title=" media"> media</a>, <a href="https://publications.waset.org/abstracts/search?q=athletes" title=" athletes"> athletes</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20media" title=" sports media"> sports media</a>, <a href="https://publications.waset.org/abstracts/search?q=women%20in%20sports" title=" women in sports"> women in sports</a> </p> <a href="https://publications.waset.org/abstracts/169134/media-representation-and-visibility-of-female-athletes-in-sporting-events-featuring-both-female-and-male-competitors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169134.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1048</span> Well-being at Work in the Sports Sector: Systematic Review and Perspectives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ouazoul%20Abdelouahd">Ouazoul Abdelouahd</a>, <a href="https://publications.waset.org/abstracts/search?q=Jemjami%20Nadia"> Jemjami Nadia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concept of well-being at work is one of today's significant challenges in maintaining quality of life and managing psycho-social risks at work. Indeed, work in the sports sector has evolved, and this exponential evolution, marked by increasing demands and psychological, physical, and social challenges, which sometimes exceed the resources of sports actors, influences their sense of well-being at work. Well-being and burnout as antagonists provide information on the quality of working life in sports. The Basic aim of this literature review is to analyze the scientific corpus dealing with the subject of well-being at work in the sports sector while exploring the link between sports burnout and well-being. The results reveal the richness of the conceptual approaches and the difficulties of implementing them. Prospects for future research have, therefore, been put forward. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Well-being" title="Well-being">Well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=Burnout" title=" Burnout"> Burnout</a>, <a href="https://publications.waset.org/abstracts/search?q=%3B%20psycho-social%20risk" title=" ; psycho-social risk"> ; psycho-social risk</a>, <a href="https://publications.waset.org/abstracts/search?q=Sports%20sector" title=" Sports sector"> Sports sector</a> </p> <a href="https://publications.waset.org/abstracts/173589/well-being-at-work-in-the-sports-sector-systematic-review-and-perspectives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173589.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">85</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1047</span> High Performance Computing and Big Data Analytics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Branci%20Sarra">Branci Sarra</a>, <a href="https://publications.waset.org/abstracts/search?q=Branci%20Saadia"> Branci Saadia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Because of the multiplied data growth, many computer science tools have been developed to process and analyze these Big Data. High-performance computing architectures have been designed to meet the treatment needs of Big Data (view transaction processing standpoint, strategic, and tactical analytics). The purpose of this article is to provide a historical and global perspective on the recent trend of high-performance computing architectures especially what has a relation with Analytics and Data Mining. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=high%20performance%20computing" title="high performance computing">high performance computing</a>, <a href="https://publications.waset.org/abstracts/search?q=HPC" title=" HPC"> HPC</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20analysis" title=" data analysis"> data analysis</a> </p> <a href="https://publications.waset.org/abstracts/15079/high-performance-computing-and-big-data-analytics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15079.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">520</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1046</span> Well-being at Work in the Sports Sector: Systematic Review and Perspectives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ouazoul%20Abdeloauhd">Ouazoul Abdeloauhd</a>, <a href="https://publications.waset.org/abstracts/search?q=Jemjami%20Nadia"> Jemjami Nadia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concept of well-being at work is one of today's significant challenges in maintaining quality of life and managing psycho-social risks at work. Indeed, work in the sports sector has evolved, and this exponential evolution, marked by increasing demands and psychological, physical, and social challenges, which sometimes exceed the resources of sports actors, influences their sense of well-being at work. Well-being and burnout as antagonists provide information on the quality of working life in sports. The Basic aim of this literature review is to analyze the scientific corpus dealing with the subject of well-being at work in the sports sector while exploring the link between sports burnout and well-being. The results reveal the richness of the conceptual approaches and the difficulties of implementing them. Prospects for future research have, therefore, been put forward. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=well-being" title="well-being">well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=burnout" title=" burnout"> burnout</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=psycho-social%20risk" title=" psycho-social risk"> psycho-social risk</a>, <a href="https://publications.waset.org/abstracts/search?q=work%20%20on%20sports%20sector" title=" work on sports sector"> work on sports sector</a> </p> <a href="https://publications.waset.org/abstracts/173615/well-being-at-work-in-the-sports-sector-systematic-review-and-perspectives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173615.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">91</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1045</span> Multidimensional Sports Spectators Segmentation and Social Media Marketing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Schmid">B. Schmid</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Kexel"> C. Kexel</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Djafarova"> E. Djafarova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding consumers is elementary for practitioners in marketing. Consumers of sports events, the sports spectators, are a particularly complex consumer crowd. In order to identify and define their profiles different segmentation approaches can be found in literature, one of them being multidimensional segmentation. Multidimensional segmentation models correspond to the broad range of attitudes, behaviours, motivations and beliefs of sports spectators, other than earlier models. Moreover, in sports there are some well-researched disciplines (e.g. football or North American sports) where consumer profiles and marketing strategies are elaborate and others where no research at all can be found. For example, there is almost no research on athletics spectators. This paper explores the current state of research on sports spectators segmentation. An in-depth literature review provides the framework for a spectators segmentation in athletics. On this basis, additional potential consumer groups and implications for social media marketing will be explored. The findings are the basis for further research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multidimensional%20segmentation" title="multidimensional segmentation">multidimensional segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20marketing" title=" sports marketing"> sports marketing</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20spectators%20segmentation" title=" sports spectators segmentation"> sports spectators segmentation</a> </p> <a href="https://publications.waset.org/abstracts/47477/multidimensional-sports-spectators-segmentation-and-social-media-marketing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47477.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1044</span> Impact of Hooliganism on Sports</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ernest%20Boateng%20Nuako">Ernest Boateng Nuako</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research is to find the effects of sports hooliganism on Ashanti school sports and find out some possible ways of amending or controlling them if we are to still experience them in our sporting fraternity. The researcher limited himself to the Ashanti region. The sample population was made up of officials, performances, and spectators drawn from four major second-cycle institutions and four basic schools in Ashanti. In all, 150 respondents were used, and all of them fell into the set of population, that is, performers, officials, and spectators. A structured questionnaire consisting of 29 statements where used to solicit views and opinions from the respondents on the effects of sports hooliganism in Ashanti school sports. Microsoft Office Excel tool (MS Excel) was used to analyze the response of the respondents, and the results were expressed in percentages. The study is aimed at finding out the effect sports hooliganism has on school sports festivals in Ghana with the Ashanti region as a case study and identify possible controlling measures to curb down the fast-pace effect of hooliganism on Ashanti regional schools. The research seeks to assist sports officials to identify some effects of sports hooliganism in Ashanti regional schools. It is also there to help officials to identify the influence hooliganism has on sports. This research also serves as a guide to other researchers who want to go into researching sports in the region. This research revealed that sports hooliganism has, in diverse ways, affected school sports in the region. It was also evident from the research study that sanctions, the presence of security, and other employable remedies could be used in controlling this unfortunate incident during our school sports competitions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=officiating%20officials" title="officiating officials">officiating officials</a>, <a href="https://publications.waset.org/abstracts/search?q=school%20sports" title=" school sports"> school sports</a>, <a href="https://publications.waset.org/abstracts/search?q=hooliganism" title=" hooliganism"> hooliganism</a>, <a href="https://publications.waset.org/abstracts/search?q=spectators" title=" spectators"> spectators</a>, <a href="https://publications.waset.org/abstracts/search?q=performer" title=" performer"> performer</a> </p> <a href="https://publications.waset.org/abstracts/160914/impact-of-hooliganism-on-sports" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160914.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1043</span> Mediation as an Effective Tool for Resolving Sports Disputes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Akram%20Shair%20Mohamad">Mohd Akram Shair Mohamad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The relation to the infinite variety issues sprouting in sports or lex sportiva, like lex mercatoria in the early centuries, has now come of age and even begun a maturing process in the past thirty-five years or so. Lex sportiva now straddles sports management, sports medicine, tort, criminal law, employment contract, competition law and a host of multifarious activities related to sports. This has catapulted a host of legal issue and problems, demanding urgent legal solutions to actual or potential disputes. This paper discusses the nature and development of lex sportiva, and how it is able to resolve sports disputes. Resolving sports dispute via the tiresome, dilatory and expensive process of litigation is most unsuitable. Arbitration may not be equally a satisfactory solution. The paper strongly advocates the far the most effective and resolution friendly mode of settling sports disputes namely, mediation. In support it highlights numerous advantages mediation has to offer and with reference to many significant sports disputes which had been successfully resolved via mediation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alternative%20dispute%20resolution" title="alternative dispute resolution">alternative dispute resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=mediation" title=" mediation"> mediation</a>, <a href="https://publications.waset.org/abstracts/search?q=arbitration" title=" arbitration"> arbitration</a>, <a href="https://publications.waset.org/abstracts/search?q=litigation" title=" litigation"> litigation</a> </p> <a href="https://publications.waset.org/abstracts/23338/mediation-as-an-effective-tool-for-resolving-sports-disputes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23338.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">436</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1042</span> Energy Efficiency and Sustainability Analytics for Reducing Carbon Emissions in Oil Refineries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gaurav%20Kumar%20Sinha">Gaurav Kumar Sinha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The oil refining industry, significant in its energy consumption and carbon emissions, faces increasing pressure to reduce its environmental footprint. This article explores the application of energy efficiency and sustainability analytics as crucial tools for reducing carbon emissions in oil refineries. Through a comprehensive review of current practices and technologies, this study highlights innovative analytical approaches that can significantly enhance energy efficiency. We focus on the integration of advanced data analytics, including machine learning and predictive modeling, to optimize process controls and energy use. These technologies are examined for their potential to not only lower energy consumption but also reduce greenhouse gas emissions. Additionally, the article discusses the implementation of sustainability analytics to monitor and improve environmental performance across various operational facets of oil refineries. We explore case studies where predictive analytics have successfully identified opportunities for reducing energy use and emissions, providing a template for industry-wide application. The challenges associated with deploying these analytics, such as data integration and the need for skilled personnel, are also addressed. The paper concludes with strategic recommendations for oil refineries aiming to enhance their sustainability practices through the adoption of targeted analytics. By implementing these measures, refineries can achieve significant reductions in carbon emissions, aligning with global environmental goals and regulatory requirements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title="energy efficiency">energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability%20analytics" title=" sustainability analytics"> sustainability analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20emissions" title=" carbon emissions"> carbon emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20refineries" title=" oil refineries"> oil refineries</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20analytics" title=" data analytics"> data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20modeling" title=" predictive modeling"> predictive modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20optimization" title=" process optimization"> process optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse%20gas%20reduction" title=" greenhouse gas reduction"> greenhouse gas reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20performance" title=" environmental performance"> environmental performance</a> </p> <a href="https://publications.waset.org/abstracts/187014/energy-efficiency-and-sustainability-analytics-for-reducing-carbon-emissions-in-oil-refineries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187014.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">31</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1041</span> Social Semantic Web-Based Analytics Approach to Support Lifelong Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Halimi">Khaled Halimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassina%20Seridi-Bouchelaghem"> Hassina Seridi-Bouchelaghem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to describe how learning analytics approaches based on social semantic web techniques can be applied to enhance the lifelong learning experiences in a connectivist perspective. For this reason, a prototype of a system called <em>SoLearn</em> (Social Learning Environment) that supports this approach. We observed and studied literature related to lifelong learning systems, social semantic web and ontologies, connectivism theory, learning analytics approaches and reviewed implemented systems based on these fields to extract and draw conclusions about necessary features for enhancing the lifelong learning process. The semantic analytics of learning can be used for viewing, studying and analysing the massive data generated by learners, which helps them to understand through recommendations, charts and figures their learning and behaviour, and to detect where they have weaknesses or limitations. This paper emphasises that implementing a learning analytics approach based on social semantic web representations can enhance the learning process. From one hand, the analysis process leverages the meaning expressed by semantics presented in the ontology (relationships between concepts). From the other hand, the analysis process exploits the discovery of new knowledge by means of inferring mechanism of the semantic web. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=connectivism" title="connectivism">connectivism</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20analytics" title=" learning analytics"> learning analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=lifelong%20learning" title=" lifelong learning"> lifelong learning</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20semantic%20web" title=" social semantic web"> social semantic web</a> </p> <a href="https://publications.waset.org/abstracts/100850/social-semantic-web-based-analytics-approach-to-support-lifelong-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100850.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">214</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1040</span> Study on the Effect of Sports Academic Journals in the Construction of Strong Sporting Nation in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qinghui%20Li">Qinghui Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Lei%20Zhang"> Lei Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In China, sport will play a more important role in the future development of the national economy, are facing greater challenges. Sports industry development in this background,innovative technology and cultural forces which will play an important role. Therefore, as a guide of sports culture, the development of science and technology, display the sports scientific and technological achievements, culture showed important - Sports Academic Journals sports technology platform of talent, but also innovation and value-added will through its value function,play an important role in the development of China's sports development and sports industry. At the same time, in the Chinese academic journals of social environment has undergone great changes,one aspect is the national news publishing system reform, change, development group of scientific publishing market has become the mainstream trend of development; on the other hand, digitalization, internationalization development speed of academic journal soon, in such a social background, how sports academic journal of development? How to serve for the development of sports? This research will be based on the sports academic journals in the past, the development status and characteristics and now plays in the history and context of modern academic value and social value, to explore the new era background, especially the development of the reform of the cultural system, marketization and the digital innovation situation of sports academic periodical show in sports, sports industry development and play a more important role in study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sports%20academin%20journals" title="sports academin journals">sports academin journals</a>, <a href="https://publications.waset.org/abstracts/search?q=strong%20sporting%20nation" title=" strong sporting nation"> strong sporting nation</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation" title=" innovation"> innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=China" title=" China"> China</a> </p> <a href="https://publications.waset.org/abstracts/26857/study-on-the-effect-of-sports-academic-journals-in-the-construction-of-strong-sporting-nation-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26857.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">502</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1039</span> Visual Analytics in K 12 Education: Emerging Dimensions of Complexity </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Linnea%20Stenliden">Linnea Stenliden</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this paper is to understand emerging learning conditions, when a visual analytics is implemented and used in K 12 (education). To date, little attention has been paid to the role visual analytics (digital media and technology that highlight visual data communication in order to support analytical tasks) can play in education, and to the extent to which these tools can process actionable data for young students. This study was conducted in three public K 12 schools, in four social science classes with students aged 10 to 13 years, over a period of two to four weeks at each school. Empirical data were generated using video observations and analyzed with help of metaphors by Latour. The learning conditions are found to be distinguished by broad complexity characterized by four dimensions. These emerge from the actors’ deeply intertwined relations in the activities. The paper argues in relation to the found dimensions that novel approaches to teaching and learning could benefit students’ knowledge building as they work with visual analytics, analyzing visualized data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytical%20reasoning" title="analytical reasoning">analytical reasoning</a>, <a href="https://publications.waset.org/abstracts/search?q=complexity" title=" complexity"> complexity</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20use" title=" data use"> data use</a>, <a href="https://publications.waset.org/abstracts/search?q=problem%20space" title=" problem space"> problem space</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20analytics" title=" visual analytics"> visual analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20storytelling" title=" visual storytelling"> visual storytelling</a>, <a href="https://publications.waset.org/abstracts/search?q=translation" title=" translation"> translation</a> </p> <a href="https://publications.waset.org/abstracts/17440/visual-analytics-in-k-12-education-emerging-dimensions-of-complexity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17440.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">376</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1038</span> The Survey of Sports Injuries in Ten Sports</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Najmeh%20Arabnejad">Najmeh Arabnejad</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Hossein%20Yousefi"> Mohammad Hossein Yousefi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The risk of injuring is possible in most sports. These injuries are inevitable in contact sports. Since sports injuries result in financial, physical, physiological and social problems for most athletes and endanger their professional future, studying the happening of sports injuries in sports changes to an important issue. This study can be conducted through different aspects including psychological, pathological, social, managerial, etc. Therefore, the present study was designed and conducted with the aim Survey of Sports Injuries In Ten Sports from 2006 to 2011.This descriptive study was carried out in a documentary form. Thus, data related to sports insurance and sport injuries happened in soccer, volleyball, basketball, handball, badminton, karate, track and field, taekwondo, gymnastics and wrestling was collected from Sports Medical Board of Kerman Province, as the largest province in Iran, and then was analyzed. Data collection method was library one. Furthermore, information related to 210406 insured athletes was analyzed using Descriptive Statistical Indexes in the level mean and SPSS20 Software. The research findings showed that the number of male athletes who injured was higher than female athletes in most sports within various years. Soccer, karate, volleyball, wrestling, handball, taekwondo, gymnastics, basketball, track and field, and badminton had the most injuries, respectively. Moreover, the number of injured athletes and their ratio to insured ones during six years were studied; in general, an increase in ratio of sports injuries was observed. Thus, upward movement of sports injuries in different sports, as the results of this study confirm it, is a warning which results in losing young forces and wasting of sports potential in Iran. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sports" title="sports">sports</a>, <a href="https://publications.waset.org/abstracts/search?q=sports%20injuries" title=" sports injuries"> sports injuries</a>, <a href="https://publications.waset.org/abstracts/search?q=survey" title=" survey"> survey</a>, <a href="https://publications.waset.org/abstracts/search?q=Kerman" title=" Kerman"> Kerman</a> </p> <a href="https://publications.waset.org/abstracts/37606/the-survey-of-sports-injuries-in-ten-sports" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37606.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">370</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sports%20analytics&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sports%20analytics&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sports%20analytics&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sports%20analytics&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=sports%20analytics&page=6">6</a></li> <li class="page-item"><a class="page-link" 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