Data Mining 2024 | October 17-18, 2024 | London

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l-11.279,8.511c-16.113,12.158-45.513,34.336-45.513,78.267c0,52.031,33.296,72.041,49.292,81.665 c7.061,4.248,14.37,8.628,14.37,18.208c0,6.255-49.922,140.566-122.417,140.566c-17.739,0-30.278-5.332-41.338-10.034 c-11.191-4.761-20.845-8.862-36.797-8.862c-8.086,0-18.311,3.823-29.136,7.881C221.496,505.73,204.752,512,185.753,512H185.255z"/> <path d="M351.343,0c1.888,68.076-46.797,115.304-95.425,112.342C247.905,58.015,304.54,0,351.343,0z"/> </g> </svg> </span> </a>  </div> </div> </div> <ul itemscope itemtype="https://www.schema.org/SiteNavigationElement" hidden> <li itemprop="name"><a itemprop="url" href="https://datamining.expertconferences.org/abstract-submission.php">Abstract Submission</a></li> <li itemprop="name"><a itemprop="url" href="https://datamining.expertconferences.org/registration.php">Registration</a></li> <li itemprop="name"><a itemprop="url" href="https://datamining.expertconferences.org/organizing-committee.php">Organizing Committee</a></li> <li itemprop="name"><a 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Online visibility to the Speakers and Experts</p> </div> </div> </div> </div> </div>  <article class="container"> <div class="row"> <div class="col-md-9">  <div id="homeCarousel" class="carousel slide sub_conference_slide"> <div class="carousel-inner"> <div class="item active"> <img src="https://d2cax41o7ahm5l.cloudfront.net/cs/upload-images/datamining_2024-37842.jpg" alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" >   </div> <div class="item"> <img src="https://d2cax41o7ahm5l.cloudfront.net/cs/upload-images/datamining_2024-93306.jpg" alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" > </div> <div class="item"> <img src="https://d2cax41o7ahm5l.cloudfront.net/cs/upload-images/datamining_2024-36498.jpg" alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" > </div> <div class="item"> <img src="https://d2cax41o7ahm5l.cloudfront.net/cs/upload-images/datamining_2024-41922.jpg" alt="Data 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Data,Artificial Intelligence,Data Visualization" title="Daniele Menezes Nascimento" src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-Daniele-Menezes-Nascimento.jpg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">Daniele Menezes Nascimento</h4> <p class="text-muted">Mc Gill University Canada </p> </div>  <div class="col-lg-3 col-md-3 col-sm-4 col-xs-6 text-center"> <div class="speaker-container"><img alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" title="En-Bing Lin" src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-En-Bing-Lin.jpg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">En-Bing Lin</h4> <p class="text-muted">Central Michigan University USA </p> </div>  <div class="col-lg-3 col-md-3 col-sm-4 col-xs-6 text-center"> <div class="speaker-container"><img alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" title="Fairouz Kamareddine" src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-Fairouz-Kamareddine.jpeg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">Fairouz Kamareddine</h4> <p class="text-muted">Heriot-Watt University UK </p> </div>  <div class="col-lg-3 col-md-3 col-sm-4 col-xs-6 text-center"> <div class="speaker-container"><img alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" title="Fionn Murtagh" src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-Fionn-Murtagh.jpg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">Fionn Murtagh</h4> <p class="text-muted">University of Huddersfield UK </p> </div>  <div class="col-lg-3 col-md-3 col-sm-4 col-xs-6 text-center"> <div class="speaker-container"><img alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" title="Han-joon Kim," src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-Han-joon-Kim-1292490945.jpg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">Han-joon Kim,</h4> <p class="text-muted">University of Seoul South Korea </p> </div>  <div class="col-lg-3 col-md-3 col-sm-4 col-xs-6 text-center"> <div class="speaker-container"><img alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" title="Nikolaos Freris," src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-Nikolaos-Freris.jpg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">Nikolaos Freris,</h4> <p class="text-muted">New York University Abu Dhabi, UAE </p> </div>  <div class="col-lg-3 col-md-3 col-sm-4 col-xs-6 text-center"> <div class="speaker-container"><img alt="Data Mining,Data Privacy,Big Data,Artificial Intelligence,Data Visualization" title="Ruben Jerves cobo" src="https://d2cax41o7ahm5l.cloudfront.net/cs/renowned-speakers/DataMining2024-Ruben-Jerves-cobo.jpg" class="img-responsive img-circle center-block"></div> <h4 class="home-speak">Ruben Jerves cobo</h4> <p class="text-muted">Ghent University, Belgium </p> </div>  <div class="col-xs-12 text-center"><a class="btn-sm btn btn-warning" href="renowned-speakers.php">View More</a></div> </div> </section>   <div class="conf-content-main"> <div class="conf-content"> <div class="conf-list-area row"> <h4 class="text-center recg">Recommended Global <span class="text-uppercase "><strong>EEE & Engineering</strong></span> Webinars & Conferences</h4> <div class="4col-lg-4 col-md-4 col-sm-4 conf-list-region zeropadding"> <div class="conf-list-region-box europe-list"> <div class="conf-list"> <h5 class="text-center text-success text-uppercase country"><strong>Europe & UK</strong></h5> <div class="list-group"> <a href="https://biotechnology.pharmaceuticalconferences.com" target="_blank" title="Biotech-2025,France" class="list-group-item"><span>Biotech-2025</span>, <strong class="text-success">France</strong></a> <a href="https://diabetesexpo.com" target="_blank" title="Euro Diabetes 2025,UK" class="list-group-item"><span>Euro Diabetes 2025</span>, <strong class="text-success">UK</strong></a> <a href="https://cellscience.conferenceseries.com" target="_blank" title="cellscience-cs-2025,Spain" class="list-group-item"><span>cellscience-cs-2025</span>, <strong class="text-success">Spain</strong></a> <a href="https://globaldermatology.conferenceseries.com" target="_blank" title="Global Dermatology-2024,France" class="list-group-item"><span>Global Dermatology-2024</span>, <strong class="text-success">France</strong></a> </div> </div> </div> </div> <div class="3col-lg-4 col-md-4 col-sm-4 conf-list-region zeropadding"> <div class="conf-list-region-box asia-pacific-list"> <div class="conf-list"> <h5 class="text-center text-success text-uppercase country"><strong>Asia Pacific & Middle East</strong></h5> <div class="list-group"> <a href="https://aquaculture.insightconferences.com" target="_blank" title="AQUACULTURE & FISHERIES 2025,Thailand" class="list-group-item"><span>AQUACULTURE & FISHERIES 2025</span>, <strong class="text-success">Thailand</strong></a> <a href="https://stressmanagement.psychiatrycongress.com" target="_blank" title="Stress 2025,Thailand" class="list-group-item"><span>Stress 2025</span>, <strong class="text-success">Thailand</strong></a> <a href="https://heart.cardiologymeeting.com" target="_blank" title="HEART 2024,UAE" class="list-group-item"><span>HEART 2024</span>, <strong class="text-success">UAE</strong></a> </div> </div> </div> </div> <div class="2col-lg-4 col-md-4 col-sm-4conf-list-region zeropadding"> <div class="conf-list-region-box "> <div class="conf-list"> <h5 class="text-center text-success text-uppercase country"><strong>Canada</strong></h5> <div class="list-group"> <a href="https://drug-delivery.pharmaceuticalconferences.com" target="_blank" title="Pharmaceutica-2025,Canada" class="list-group-item"><span>Pharmaceutica-2025</span>, <strong class="text-success">Canada</strong></a> <a href="https://womenshealth.cancersummit.org" target="_blank" title="Womens Health 2025,Canada" class="list-group-item"><span>Womens Health 2025</span>, <strong class="text-success">Canada</strong></a> </div> </div> </div> </div> </div> </div> </div>  <div class="conf-content-main"> <div class="conf-content"> <h2 class="text-uppercase text-center text-white heading bg-success-gradient">Data Mining 2024</h2> <div class="card-block conference-main-info welcome-message">    <ul class="nav nav-tabs"> <li> <a href="#section_About Conference" rel="section_About Conference">About Conference</a></li><li> <a href="#section_Sessions and Tracks" rel="section_Sessions and Tracks">Sessions and Tracks</a></li><li> <a href="#section_Market Analysis" rel="section_Market Analysis">Market Analysis</a></li> <li><a href="#section_pcontent" rel="section_pcontent">Past Conference Report</a></li> </ul> <div id="mainPageContent" class="tab-content" > <div id="section_About Conference"> <h3>About Conference</h3> <p> <div align="center"></div><br><p style="text-align: justify;"> <a href="https://datamining.expertconferences.org/">The 11th International Conference on Big Data Analysis and Data Mining</a> is going to be held on October 17-18, 2024 in London, UK. is a premier event that brings together leading experts, researchers, and practitioners from around the world to discuss the latest advancements, challenges, and opportunities in the field of big data analysis and data mining. This two-day conference aims to foster collaboration, knowledge sharing, and innovation in this rapidly evolving domain. Engage in interactive workshops and hands-on sessions designed to provide practical skills and knowledge in areas such as data visualization, deep learning, <a href="https://datamining.expertconferences.org/">data security</a>, and the use of popular tools like R and Tableau. Join thought-provoking panel discussions where experts will debate current issues, share diverse perspectives, and explore future directions in big data analysis and data mining. Take advantage of numerous networking opportunities, including industry panels, round table discussions, poster sessions, and exhibitor booths. These events are designed to facilitate collaboration and foster professional connections among attendees. Discover innovative research and emerging ideas during the poster presentation sessions, where researchers and students will showcase their latest findings and receive feedback from peers and experts.</p> <p> Who Should Attend?</p> <p> Data Scientists and Analysts</p> <p> Machine Learning Engineers</p> <p> Researchers and Academics</p> <p> Industry Professionals and Practitioners</p> <p> Students and Early Career Researchers</p> <p> Technology Developers and Vendors</p> <p style="text-align: justify;"> Policy Makers and Regulators</p> </p> </div> <div id="section_Sessions and Tracks"> <h3>Sessions and Tracks</h3> <p> <p> <strong>Track 1</strong> : <a href="https://datamining.expertconferences.org/">Foundations of Big Data Analysis</a></p> <p style="text-align: justify;"> <a href="https://datamining.expertconferences.org/">Foundations of Big Data Analysis</a> is a foundational session designed to provide participants with a thorough understanding of the core concepts and principles that underpin the field of big data analytics. This session covers essential topics such as the characteristics of big data, data acquisition, storage, and <a href="https://datamining.expertconferences.org/">pre-processing,</a> as well as data exploration techniques. Participants will learn about the challenges and opportunities presented by big data and gain insight into how to effectively analyze and derive valuable insights from large and complex datasets. Through engaging lectures and interactive discussions, this session aims to equip participants with the knowledge and skills needed to navigate the world of big data analytics confidently.</p> <p> <strong>Track 2 : </strong><a href="https://datamining.expertconferences.org/">Big Data Technologies and Tools session</a></p> <p style="text-align: justify;"> <a href="https://datamining.expertconferences.org/">Big Data Technologies and Tools session </a> offers a comprehensive overview of the latest technologies and tools used in the field of big data analytics. Participants will learn about various platforms, frameworks, and software solutions that are essential for processing, storing, and analyzing large volumes of data. The session covers a wide range of topics, including <a href="https://datamining.expertconferences.org/">distributed computing</a>; cloud computing, NoSQL databases, Hadoop, Spark, and machine learning libraries. Through hands-on demonstrations and practical examples, participants will gain a deep understanding of how these technologies and tools can be applied to real-world <a href="https://datamining.expertconferences.org/">big data challenges</a>. Whether you are a beginner or an experienced data professional, this session will provide you with valuable insights into the rapidly evolving landscape of big data technologies.</p> <p style="text-align: justify;"> <strong>Track 3 : </strong><a href="https://datamining.expertconferences.org/">Data Cleaning and Preprocessing</a></p> <p style="text-align: justify;"> <a href="https://datamining.expertconferences.org/">Data Cleaning and Preprocessing</a> is a critical process in the field of data analysis, especially when dealing with large and complex datasets. This session provides participants with an in-depth understanding of the importance of data cleaning and preprocessing and the various techniques involved.Participants will learn how to identify and handle missing or duplicate data, remove outliers, and standardize data formats. They will also explore techniques for <a href="https://datamining.expertconferences.org/">data transformation</a>, such as normalization and encoding categorical variables. Through hands-on exercises and real-world examples, participants will gain practical skills in cleaning and preprocessing data to ensure its quality and suitability for analysis.By the end of the session, participants will have a solid foundation in data cleaning and preprocessing principles and techniques, enabling them to effectively prepare data for further analysis and interpretation.</p> <p style="text-align: justify;"> <strong>Track 4</strong> : <a href="https://datamining.expertconferences.org/">Clustering and Association Rule Mining</a></p> <p style="text-align: justify;"> <a href="https://datamining.expertconferences.org/">Clustering and Association Rule Mining</a> are advanced techniques used in data mining to uncover patterns and relationships within datasets. In the Clustering portion of this session, participants will learn about different clustering algorithms, such as K-means and hierarchical clustering, and how to apply them to group similar data points together. They will also explore practical applications of clustering, such as customer segmentation and anomaly detection.In the Association Rule Mining portion, participants will delve into the theory and practice of discovering interesting relationships between variables in large datasets. They will learn about popular algorithms like Apriori and FP-growth, and how to interpret and apply the resulting rules to make data-driven decisions.Through hands-on exercises and real-world examples, participants will gain a deep understanding of these powerful techniques and how to leverage them to extract valuable insights from their data.</p> <p style="text-align: justify;"> <strong>Track 5</strong> : <a href="https://datamining.expertconferences.org/">Text Mining and Natural Language Processing</a><br /> <br /> Text Mining and Natural Language Processing (NLP) are essential techniques for extracting insights and knowledge from unstructured text data. In this session, participants will learn about the principles and applications of text mining and NLP in various fields.The Text Mining portion of the session will cover topics such as text preprocessing, tokenization, and feature extraction. Participants will also explore techniques for sentiment analysis, topic modeling, and text classification using machine learning algorithms.In the <a href="https://datamining.expertconferences.org/">Natural Language Processing portion</a>, participants will learn about the fundamentals of NLP, including syntax and semantics. They will also explore advanced NLP techniques such as named entity recognition, part-of-speech tagging, and text summarization</p> <p> <strong>Track 6: </strong><a href="https://datamining.expertconferences.org/">Exploratory Data Analysis (EDA)</a></p> <p style="text-align: justify;"> Exploratory Data Analysis is a critical step in the data analysis process that involves analyzing and visualizing data to understand its key characteristics, uncover patterns, and identify potential relationships between variables. In this session, participants will learn about the principles and techniques of EDA and how to apply them to real-world datasets.Participants will explore methods for summarizing and visualizing data, such as <a href="https://datamining.expertconferences.org/">histograms</a>, box plots, and scatter plots. They will also learn how to identify outliers, missing values, and other data issues that may impact the analysis.Through hands-on exercises and case studies, participants will gain practical experience in conducting EDA and interpreting the results. By the end of the session, participants will have a solid understanding of EDA principles and how to apply them to gain valuable insights from data.</p> <p> Track 7: <a href="https://datamining.expertconferences.org/">Machine Learning for Big Data</a></p> <p style="text-align: justify;">  Machine Learning for Big Data  is a session that focuses on the application of machine learning techniques to large and complex datasets. Participants will learn about the principles of machine learning and how to apply them to solve real-world problems in big data analytics.The session covers a range of machine learning topics, including supervised learning, unsupervised learning, and reinforcement learning. Participants will explore different machine learning algorithms and models, such as decision trees, <a href="https://datamining.expertconferences.org/">support vector machines</a>, and neural networks, and learn how to select the most appropriate model for a given problem.Through hands-on exercises and case studies, participants will gain practical experience in building and evaluating machine learning models using big data. By the end of the session, participants will have the skills and knowledge needed to apply machine learning techniques to big data analytics projects effectively.</p> <p> <strong>Track 8</strong> : <a href="https://datamining.expertconferences.org/">Future Trends in Big Data Analysis and Data Mining</a></p> <p style="text-align: justify;"> Future Trends in Big Data Analysis and Data Mining explores emerging technologies and methodologies that are shaping the future of data analysis. Advancements in AI and ML are expected to play a significant role in the future of data analysis, enabling more sophisticated and automated analysis techniques. Deep learning, a subset of ML, is expected to continue to grow in importance, particularly in areas such as image and speech recognition. With the rise of IoT devices, <a href="https://datamining.expertconferences.org/">edge computing</a> is becoming increasingly important for processing data closer to the source, reducing latency and bandwidth usage. As data collection and analysis become more pervasive, there is a growing focus on data privacy and ethical considerations in data mining and analysis. As datasets continue to grow in size and complexity, effective <a href="https://datamining.expertconferences.org/">data visualization </a>techniques will be crucial for making sense of the data and communicating insights.</p> <p style="text-align: justify;"> <strong>Track 9</strong> : <a href="https://datamining.expertconferences.org/">Real Time Big Data Processing</a></p> <p style="text-align: justify;"> Real-time processing has benefits across all industries in today’s markets. With a growing focus on Big Data, this system of processing and acquiring insights can drive enterprises to new levels of achievement.Some real-world applications of real-time processing are found in banking systems, data streaming, <a href="https://datamining.expertconferences.org/">customer service structures</a>, and weather radars. Without real-time processing, these industries would not be possible or would deeply lack accuracy.For example, weather radar is heavily reliant on the real-time insights provided by this system of data processing. Due to the sheer volume of data that is being collected by supercomputers to study weather interactions and predictions, real-time processing is absolutely critical to successful interpretation. Solve the most complex problems and answer the biggest questions with HPE high performance computing solutions, expertise, and global partner ecosystem. The power of supercomputing with HPE allows enterprise organizations to scale up or scale out, on-premises or in the cloud, with intentional storage and software to power your innovation. Every workload, aligned to your budget.HPE Green Lake for HPC powers fast deployment with ease, for all your consumption-based projects. </p> <p style="text-align: justify;"> <strong>Track 10 </strong>: <a href="https://datamining.expertconferences.org/"><span style="background-color: white;">Deep Learning for Big Data Applications</span></a></p> <p style="text-align: justify;"> Typically, training deep neural networks requires large amounts of data that often do not fit in memory. You do not need multiple computers to solve problems using data sets too large to fit in memory. Instead, you can divide your training data into mini-batches that contain a portion of the data set. By iterating over the mini-batches, networks can learn from large data sets without needing to load all data into memory at once. If your data is too large to fit in memory, use a data store to work with mini-batches of data for training and inference. MATLAB® provides many different types of data store tailored for different applications. For more information about data stores for different applications, see Datastores for Deep Learning. <a href="https://datamining.expertconferences.org/">augmentedImageDatastore</a> is specifically designed to preprocess and augment batches of image data for machine learning and computer vision applications. For more information, see Preprocess Images for Deep Learning.Deep Learning for Big Data Applications is poised to drive significant innovations across various industries by harnessing the power of deep <a href="https://datamining.expertconferences.org/">neural networks</a> to analyze and derive insights from large datasets.</p> <p style="text-align: justify;"> <strong>Track 11</strong> : <a href="https://datamining.expertconferences.org/">Social Network Analysis</a></p> <p style="text-align: justify;"> <a href="https://datamining.expertconferences.org/">Social network analysis</a> is the process of investigating social structures through the use of networks and graph theory. This article introduces data scientists to the theory of social networks, with a short introduction to graph theory and information spread. It dives into Python code with NetworkX constructing and implying social networks from real datasets. Nodes (A, B,C,D,E in the example) are usually representing entities in the network, and can hold self-properties (such as weight, size, position and any other attribute) and network-based properties (such as Degree- number of neighbors or Cluster- a connected component the node belongs to etc.).Edges represent the connections between the nodes, and might hold properties as well (such as weight representing the strength of the connection, direction in case of asymmetric relation or time if applicable). These two basic elements can describe <a href="https://datamining.expertconferences.org/">multiple phenomena</a>, such as social connections, virtual routing network, physical electricity networks, roads network, biology relations network and many other relationships</p> <p style="text-align: justify;"> <strong>Track 12</strong> : <a href="https://datamining.expertconferences.org/">Big Data Security and Privacy</a></p> <p style="text-align: justify;"> Big Data Secuirty and Privacy  As the volume of data generated and processed by organizations continues to grow exponentially, ensuring the security and privacy of big data has become a critical concern. Big Data Security and Privacy encompasses a range of strategies, technologies, and practices designed to protect sensitive information from unauthorized access, <a href="https://datamining.expertconferences.org/venue-hospitality.php">breaches</a>, and other cyber threats. This field addresses the unique challenges posed by the vast scale, variety, and velocity of big data. Implementing systems to detect and prevent unauthorized access and anomalies in real-time.Implementing systems to detect and prevent unauthorized access and anomalies in real-time. Protecting a wide variety of data types, including structured, unstructured, and semi-structured data, presents unique challenges. Managing the complexity of big data environments, including cloud and hybrid infrastructures, requires advanced security solutions. <a href="https://datamining.expertconferences.org/venue-hospitality.php">Big Data Security</a> and Privacy is essential for protecting sensitive information in an increasingly data-driven world. By implementing robust security measures and staying informed about emerging threats, organizations can safeguard their data assets and maintain the trust of their customers and stakeholders.</p> <p style="text-align: justify;"> <strong>Track 13 </strong>: <a href="https://datamining.expertconferences.org/">Recommender Systems and Personalization </a></p> <p style="text-align: justify;"> Recommender Systems and Personalization technologies are designed to enhance user experience by providing tailored recommendations and content based on individual preferences and behavior. These systems analyze user data, such as past interactions, preferences, and demographics, to generate personalized recommendations for products, services, or content.Recommender Systems utilize <a href="https://datamining.expertconferences.org/">various algorithms</a>, such as collaborative filtering, content-based filtering, and hybrid approaches, to suggest items that are likely to be of interest to the user. These systems are widely used in e-commerce platforms, <a href="https://datamining.expertconferences.org/">streaming services</a>, social media platforms, and more, to help users discover new products, movies, music, or news articles.Personalization goes beyond recommendations to customize user interfaces, content, and services based on individual preferences. This can include personalized product offerings, targeted marketing campaigns, and tailored user experiences. By leveraging data analytics and machine learning techniques, organizations can create more engaging and relevant experiences for their users, ultimately driving user engagement, satisfaction, and loyalty.</p> <p style="text-align: justify;"> <strong>Track 14</strong> :<a href="https://datamining.expertconferences.org/"> Graph Mining and Network Analysis</a> <br /> <br /> Graph Mining and Network Analysis are fields of study that focus on extracting valuable insights from graph-structured data. Graphs are mathematical structures that represent relationships between entities, with nodes representing entities and edges representing relationships between them.Graph Mining involves applying data mining techniques to analyze large-scale graphs to discover patterns, structures, and trends. This can include identifying communities or clusters of nodes, detecting anomalies or outliers, and predicting missing links or future connections.Network Analysis, on the other hand, focuses on the study of networks to understand their structure, dynamics, and properties. It involves analyzing network topologies, centrality measures, and connectivity patterns to gain insights into the behavior of complex systems.Applications of Graph Mining and Network Analysis are diverse and include social network analysis, biological network analysis, transportation network analysis, and more. These techniques are used in various fields such as social sciences, biology, <a href="https://datamining.expertconferences.org/">cybersecurity</a>, and telecommunications to uncover hidden patterns and relationships that are not apparent in traditional data analysis methods</p> <p style="text-align: justify;"> <strong>Track 15</strong> : <a href="https://datamining.expertconferences.org/">Privacy-Preserving Data Mining</a></p> <p style="text-align: justify;"> Privacy-Preserving Data Mining (PPDM) is a field of study that focuses on developing techniques and algorithms to extract useful information from data while preserving the privacy of individuals whose data is being analyzed. Adding noise to the data to mask sensitive information while maintaining the overall statistical properties of the dataset. Removing or obfuscating personally identifiable information (PII) from the dataset to prevent the identification of individuals. Ensuring that the output of a data analysis algorithm does not reveal information about any individual data point in the dataset.PPDM is particularly important in contexts where sensitive information needs to be protected, such as <a href="https://datamining.expertconferences.org/">healthcare</a>, finance, and social media. Traditional data mining techniques may inadvertently reveal sensitive information about individuals, leading to privacy breaches and ethical concerns.</p> <p style="text-align: justify;"> <strong>Track 16</strong> : <a href="https://datamining.expertconferences.org/">Stream Data Mining and Sensor Data Analysis</a></p> <p style="text-align: justify;"> Stream Data Mining and Sensor Data Analysis are fields of study focused on extracting knowledge from continuous data streams generated by sensors and other data sources in real-time.Stream Data Mining involves the application of data mining techniques to analyze and extract patterns, trends, and insights from high-velocity data streams. This requires algorithms that can process data on-the-fly, often in limited memory and with stringent time constraints. <a href="https://datamining.expertconferences.org/">Sensor Data Analysis</a>, on the other hand, specifically focuses on analysing data from sensors, which are devices that measure physical or environmental conditions. This includes data from IoT devices, smart devices, and industrial sensors, among others. Sensor data analysis involves processing, interpreting, and visualizing sensor data to extract useful information for various applications such as environmental monitoring, healthcare, and industrial automation. Both <a href="https://datamining.expertconferences.org/">Stream Data Mining</a> and Sensor Data Analysis play crucial roles in enabling real-time decision-making, monitoring of systems, and detecting anomalies or patterns that may indicate important events or changes in the environment. These techniques are essential for applications where timely insights from streaming data can lead to significant improvements in efficiency, safety, and effectiveness.</p> <p> <strong>Track 17</strong> : <a href="https://datamining.expertconferences.org/">Big Data Analytics in Finance and Banking</a></p> <p style="text-align: justify;"> Big Data Analytics has significantly transformed the finance and banking sector by enabling institutions to extract valuable insights from vast and varied datasets. This analytical approach involves the use of advanced tools and techniques to analyze complex data sets, including customer transactions, market trends, and social media interactions, among others. By analyzing <a href="https://datamining.expertconferences.org/">historical data</a> and market trends, financial institutions can better assess and manage risks associated with lending, investments, and market volatility. Big Data Analytics helps in detecting patterns and anomalies in transactions, enabling institutions to identify and prevent fraudulent activities in real-time. By analyzing customer data, including transaction histories and interactions, banks can personalize offerings, improve customer service, and enhance customer retention. <a href="https://datamining.expertconferences.org/">Big Data Analytics</a> enables banks to streamline operations, optimize processes, and reduce costs by identifying inefficiencies and bottlenecks. Overall, Big Data Analytics plays a crucial role in helping finance and banking institutions gain deeper insights, improve decision-making, and enhance customer experiences in an increasingly competitive and data-driven environment</p> <p style="text-align: justify;"> <strong>Track 18</strong> : <a href="https://datamining.expertconferences.org/">Case studies and best practices in Big Data Analytics </a></p> <p style="text-align: justify;"> Case studies and best practices in Big Data Analytics offer valuable insights into how organizations can effectively leverage data to drive business value and achieve strategic objectives. These examples showcase real-world applications of Big Data Analytics across various industries and highlight successful strategies and approaches that have delivered measurable results.One example of a case study in Big Data Analytics is how a retail company used customer data to optimize its marketing campaigns. By analyzing customer demographics, purchasing behavior, and interactions with marketing materials, the company was able to tailor its campaigns to target specific customer segments more effectively, resulting in increased sales and customer satisfaction.Another example is how a <a href="https://datamining.expertconferences.org/venue-hospitality.php">healthcare</a> organization used Big Data Analytics to improve patient outcomes. By analyzing patient data from electronic health records, diagnostic tests, and treatments, the organization was able to identify patterns and trends that helped doctors make more accurate diagnoses and develop personalized treatment plans, leading to better patient outcomes and reduced healthcare costs</p> </p> </div> <div id="section_Market Analysis"> <h3>Market Analysis</h3> <p> <p style="text-align: justify;"> The global market for Big Data Analysis and <a href="https://datamining.expertconferences.org/">Data Minin</a>g has witnessed significant growth from 2020 to 2028, driven by advancements in technology, the increasing volume of data generated across industries, and the rising demand for data-driven decision-making. This period has seen a surge in the adoption of big data technologies and analytics solutions, transforming the way organizations operate and compete in the market. In 2020 The market was valued at approximately $138.9 billion. From 2021-2024 The market experienced a compound annual growth rate (CAGR) of around 10.6%, reaching an estimated value of $187.4 billion by the end of 2024.From The market is projected to continue its robust growth, with an expected CAGR of 11.5%, reaching approximately $324.3 billion by 2028.  In Key Drivers the exponential growth in data generated from various sources such as social media, IoT devices, and enterprise applications has fueled the demand for advanced data analytics solutions. Innovations in machine learning, <a href="https://datamining.expertconferences.org/">artificial intelligence</a>, and cloud computing have enhanced the capabilities and scalability of big data analytics. Organizations increasingly rely on data-driven insights to enhance operational efficiency, customer experiences, and strategic decision-making.</p> <p style="text-align: justify;"> <strong>North America</strong>: Dominates the market due to the presence of major technology companies, high adoption rates of advanced analytics, and significant investments in R&D.</p> <p style="text-align: justify;"> <strong>Europe</strong>: Follows North America, driven by strong regulatory frameworks and substantial investments in data protection and analytics technologies.</p> <p style="text-align: justify;"> <strong>Asia-Pacific</strong>: Expected to witness the highest growth rate due to rapid digital transformation, increasing internet penetration, and growing awareness of the benefits of big data analytics.</p> <p style="text-align: justify;"> <strong>Latin America and Middle East & Africa</strong>: Emerging markets with significant potential for growth as they adopt new technologies and improve their IT infrastructure.</p> <p style="text-align: justify;"> The market for Big Data Analysis and Data Mining is poised for continued growth and innovation. Organizations across various sectors are increasingly recognizing the strategic importance of big data analytics in driving business value. The 11th International Conference on Big Data Analysis and Data Mining will provide a critical platform for industry leaders, researchers, and practitioners to share insights, discuss challenges, and explore future trends in this dynamic field.</p> </p> </div> <div id="section_pcontent"> <h3>Past Conference Report</h3> <p><b>Data Mining 2023</b></br><p style="text-align: justify;"> The <a href="https://datamining.expertconferences.org/2023">10th International Conference on Big Data Analysis and Data Mining</a><span style="text-align: justify;"> (Data Mining 2023) which is going to be held during </span><strong style="text-align: justify;">June 14 -15, 2023 at Edinburgh, Scotlan</strong><span style="text-align: justify;"><strong>d</strong> to share the knowledge. The main theme of the conference is “Moving beyond the analyses of Data Science".This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset. However, your presence over the venue will add one more feather to the crown of Data Mining 2023.Data Mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Mining 2023 is comprised of the following sessions with 27 tracks and 160 sub-sessions designed to offer comprehensive sessions that address current issues of Big Data and Data Mining. </span><a href="https://datamining.expertconferences.org/" style="text-align: justify;">Data mining tools</a><span style="text-align: justify;"> predict future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time-consuming to resolve.</span></p> <br><a href='https://www.conferenceseries.com/Past_Reports/data-mining-2023-past' target="_blank"><span class="btn btn-warning btn-xs">Past Reports</span></a>  <a href='https://www.conferenceseries.com/Past_Reports/data-mining-2023-gallery' target="_blank"><span class="btn btn-warning btn-xs">Gallery</span></a>   </br></br></p> </div> </div> </div> </div> </div>  <div class="well well-sm offer"> <div class="conf-available padding-sm"> <h3 class="h5 bg-success-gradient padding-lg text-white text-center">To Collaborate Scientific Professionals around the World</h3> <div class="conf-available-sub"> <div> <p class="padding-lg">Conference Date <span><em>October 17-18, 2024</em></span></p> </div> <div> <p class="padding-lg"><em>For Sponsors & Exhibitors</em></p> <p><a href="mailto:sponsor@conferenceseries.com" 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class="list-group-item">Data Mining 2023 Conference</a> </div> </div>  </div> <div class="col-md-6">  <div class="supportedBy"> <h3 class="bg-success-gradient text-center text-uppercase text-white h4 padding-lg margin-zero">Supported By</h3> <div class="list-group show"> <a href="https://www.hilarispublisher.com/computer-science-systems-biology.html" target="_blank" title="Journal of Computer Science & Systems Biology" class="list-group-item">Journal of Computer Science & Systems Biology</a> <a href="https://www.hilarispublisher.com/sensor-networks-data-communications.html" target="_blank" title="International Journal of Sensor Networks and Data Communications" class="list-group-item">International Journal of Sensor Networks and Data Communications</a> <p class="list-group-item">All accepted abstracts will be published in respective Conference Series International Journals.</p> <p class="digital-identifier list-group-item">Abstracts will be provided with Digital Object Identifier 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class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/big-data-technologies-and-tools-session" title="Big Data Technologies and Tools session">Big Data Technologies and Tools session</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/data-cleaning-and-preprocessing" title="Data Cleaning and Preprocessing">Data Cleaning and Preprocessing</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/clustering-and-association-rule-mining" title="Clustering and Association Rule Mining">Clustering and Association Rule Mining</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/text-mining-and-natural-language-processing" title="Text Mining and Natural Language Processing">Text Mining and Natural Language Processing</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/exploratory-data-analysis-eda" title="Exploratory Data Analysis (EDA)">Exploratory Data Analysis (EDA)</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/machine-learning-for-big-data" title="Machine Learning for Big Data">Machine Learning for Big Data</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/future-trends-in-big-data-analysis-and-data-mining" title="Future Trends in Big Data Analysis and Data Mining">Future Trends in Big Data Analysis and Data Mining</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/real-time-big-data-processing" title="Real Time Big Data Processing">Real Time Big Data Processing</a></li> </ul> <ul> <li class="list-group-item"><a 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Network Analysis">Graph Mining and Network Analysis</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/privacy-preserving-data-mining" title="Privacy-Preserving Data Mining">Privacy-Preserving Data Mining</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/stream-data-mining-and-sensor-data-analysis" title="Stream Data Mining and Sensor Data Analysis">Stream Data Mining and Sensor Data Analysis</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/big-data-analytics-in-finance-and-banking" title="Big Data Analytics in Finance and Banking">Big Data Analytics in Finance and Banking</a></li> </ul> <ul> <li class="list-group-item"><a href="https://datamining.expertconferences.org/events-list/case-studies-and-best-practices-in-big-data-analytics" title="Case studies and best practices in Big Data Analytics ">Case studies 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<option value="Panama">Panama</option> <option value="Papua New Guinea">Papua New Guinea</option> <option value="Paraguay">Paraguay</option> <option value="Peru">Peru</option> <option value="Philippines">Philippines</option> <option value="Pitcairn">Pitcairn</option> <option value="Poland">Poland</option> <option value="Portugal">Portugal</option> <option value="Qatar">Qatar</option> <option value="Reunion">Reunion</option> <option value="Romania">Romania</option> <option value="Russian Federation">Russian Federation</option> <option value="Rwanda">Rwanda</option> <option value="S. Georgia and S. Sandwich Isls.">S. Georgia and S. Sandwich Isls.</option> <option value="Saint Kitts and Nevis">Saint Kitts and Nevis</option> <option value="Saint Lucia">Saint Lucia</option> <option value="Saint Vincent and The Grenadines">Saint Vincent and The Grenadines</option> <option value="Samoa">Samoa</option> <option value="San Marino">San Marino</option> <option value="Sao Tome and Principe">Sao Tome and Principe</option> <option value="Saudi Arabia">Saudi Arabia</option> <option value="Senegal">Senegal</option> <option value="Serbia">Serbia</option> <option value="Seychelles">Seychelles</option> <option value="Sierra Leone">Sierra Leone</option> <option value="Singapore">Singapore</option> <option value="Slovak Republic">Slovak Republic</option> <option value="Slovenia">Slovenia</option> <option value="Solomon Islands">Solomon Islands</option> <option value="Somalia">Somalia</option> <option value="South Africa">South Africa</option> <option value="Spain">Spain</option> <option value="Sri Lanka">Sri Lanka</option> <option value="St. Helena">St. Helena</option> <option value="St. Pierre and Miquelon">St. Pierre and Miquelon</option> <option value="Sudan">Sudan</option> <option value="Suriname">Suriname</option> <option value="Svalbard and Jan Mayen Islands">Svalbard and Jan Mayen Islands</option> <option value="Swaziland">Swaziland</option> <option value="Sweden">Sweden</option> <option value="Switzerland">Switzerland</option> <option value="Syria">Syria</option> <option value="Taiwan">Taiwan</option> <option value="Tajikistan">Tajikistan</option> <option value="Tanzania">Tanzania</option> <option value="Thailand">Thailand</option> <option value="Togo">Togo</option> <option value="Tokelau">Tokelau</option> <option value="Tonga">Tonga</option> <option value="Trinidad and Tobago">Trinidad and Tobago</option> <option value="Tunisia">Tunisia</option> <option value="Turkey">Turkey</option> <option value="Turkmenistan">Turkmenistan</option> <option value="Turks and Caicos Islands">Turks and Caicos Islands</option> <option value="Tuvalu">Tuvalu</option> <option value="US Minor Outlying Islands">US Minor Outlying Islands</option> <option value="Uganda">Uganda</option> <option value="Ukraine">Ukraine</option> <option value="United Arab Emirates">United Arab Emirates</option> <option value="United Kingdom">United Kingdom</option> <option value="United States">United States</option> <option value="Uruguay">Uruguay</option> <option value="Uzbekistan">Uzbekistan</option> <option value="Vanuatu">Vanuatu</option> <option value="Vatican City State (Holy See)">Vatican City State (Holy See)</option> <option value="Venezuela">Venezuela</option> <option value="Viet Nam">Viet Nam</option> <option value="Virgin Islands (British)">Virgin Islands (British)</option> <option value="Wallis and Futuna Islands">Wallis and Futuna Islands</option> <option value="Western Sahara">Western Sahara</option> <option value="Yemen">Yemen</option> <option value="Yugoslavia">Yugoslavia</option> <option value="Zaire">Zaire</option> <option value="Zambia">Zambia</option> <option value="Zimbabwe">Zimbabwe</option> </select> </div> </div> <div class="form-group"> <label for="inputSubject" class="col-sm-2 control-label">Material Type</label> <div class="col-sm-10"> <select class="form-control" name="MaterialType" id="MaterialType" required=""> <option value="">Select Material Type</option> <option value="Proceedings (Souvenir) - Hard Copy">Proceedings (Souvenir) - Hard Copy</option> <option value="Proceedings (Souvenir) - Soft Copy">Proceedings (Souvenir) - Soft Copy</option> <option value="Attendees List & Contacts">Attendees List & Contacts</option> <option value="Post Conference Networking">Post Conference Networking</option> <option value="Conference Photos Gallery">Conference Photos Gallery</option> </select> </div> </div> <div class="form-group"> <label for="inputMessage" class="col-sm-2 control-label">Message</label> <div class="col-sm-10"> <textarea class="form-control" rows="3" name="inputMessage" id="inputMessage" name="message" Placeholder="Enter Your Message Here"></textarea> </div> </div> <div class="form-group"> <p class="text-center"><button type="button" id="purchaseTodayBtn" class="btn btn-success">Submit</button><button type="button" class="btn btn-default" data-dismiss="modal">Close</button></p> </div> </form> </div> </div> </div> </div> <script> $(document).ready(function(){ var Emailfilter = /^([a-zA-Z0-9_\.\-])+\@(([a-zA-Z0-9\-])+\.)+([a-zA-Z0-9]{2,4})+$/; $('#purchaseTodayBtn').click(function(event){ event.preventDefault(); var postData = { 'conference_name' : $('#purchaseToday input[id=conference_name]').val(), 'conference_url' : $('#purchaseToday input[id=conference_url]').val(), 'conference_email' : $('#purchaseToday input[id=conference_email]').val(), 'inputName' : $('#purchaseToday input[id=inputName]').val(), 'inputEmail' : $('#purchaseToday input[id=inputEmail]').val(), 'inputMobile' : $('#purchaseToday input[id=inputMobile]').val(), 'inputCountry' : $('#purchaseToday select[id=Country]').val(), 'materialType' : $('#purchaseToday select[id=MaterialType]').val(), 'inputMessage' : $('#purchaseToday textarea[id=inputMessage]').val(), 'confId' : $('#purchaseToday input[id=confId]').val(), 'country' : $('#purchaseToday input[id=conference_country]').val() } if (postData.inputName=='') { $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Name Required.</font>'); } else if (postData.inputEmail=='') { $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Email Required.</font>'); } else if (!Emailfilter.test(postData.inputEmail)) { $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Invalid Email.</font>'); } else if (postData.inputMobile=='') { $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Mobile Number Required.</font>'); } else if (postData.inputCountry=='') { $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Country Required.</font>'); } else if (postData.materialType=='') { $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Material Type Required.</font>'); } else { $('#materials_msg').html(""); $.ajax({ url:'http://datamining.expertconferences.org/purchase_materials.php', type:'post', data:postData, success: function(response){ if(response==1){ $('#purchase_form').html('<p style="color:green;font-weight:bold; font-size:20px; text-align:center;">Thanks for contacting us for purchasing,<br/> we will get back to you soon from </p><a id="contact_mail" href="mailto:' + postData.conference_email + '">' + postData.conference_email + '</a>'); }else{ $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Sorry! Something went wrong! Try again!</font>'); } }, error:function(response){ $('#materials_msg').html('<font style="color:red;font-weight:bolder;">Sorry! Something went wrong! Try again!</font>'); } }); } }); }); </script> <div class="modal fade" id="customisedSponsorship" tabindex="-1" role="dialog"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h3 class="modal-title text-center">Customised Sponsorship</h3> <div id="sponsorship_msg" class="span12 text-center"></div> </div> <div class="modal-body" id="contact_form"> <p class="text-center text-success"><strong>Please fill the form. we will get back you soon.</strong></p> <form class="form-horizontal" id="sponsorship_form"> <input type="hidden" name="conference_url" id="conference_url" value=""> <input type="hidden" name="conference_country" id="conference_country" value=""> <input type="hidden" name="conference_name" id="conference_name" value="" /> <input type="hidden" name="conference_email" id="conference_email" value="contact.chris@theannualmeet.com" /> <input type="hidden" name="confId" id="confId" value="13201" /> <div class="form-group"> <label for="inputName" class="col-sm-2 control-label">Name</label> <div class="col-sm-10"> <input type="name" class="form-control" name="inputName" id="inputName" placeholder="Enter Your Name Here" name="name" required="required"> </div> </div> <div class="form-group"> <label for="inputEmail" class="col-sm-2 control-label">Email</label> <div class="col-sm-10"> <input type="email" class="form-control" name="inputEmail" id="inputEmail" placeholder="Enter Your Email Address Here" name="email" required="required"> </div> </div> <div class="form-group"> <label for="inputMobile" class="col-sm-2 control-label">Mobile Number</label> <div class="col-sm-10"> <input type="text" class="form-control" name="inputMobile" id="inputMobile" placeholder="Enter Your Mobile Number Here" name="mobile" required="required"> </div> </div> <div class="form-group"> <label for="inputMobile" class="col-sm-2 control-label">Country</label> <div class="col-sm-10"> <select class="form-control" name="Country" id="Country" required=""> <option value="">Select country</option> <option value="United States">United States</option> <option value="United Kingdom">United Kingdom</option> <option value="Afghanistan">Afghanistan</option> <option value="Albania">Albania</option> <option value="Algeria">Algeria</option> <option value="American Samoa">American Samoa</option> <option value="Andorra">Andorra</option> <option value="Angola">Angola</option> <option value="Anguilla">Anguilla</option> <option value="Antarctica">Antarctica</option> <option value="Antigua and Barbuda">Antigua and Barbuda</option> <option value="Argentina">Argentina</option> <option value="Armenia">Armenia</option> <option value="Aruba">Aruba</option> <option value="Australia">Australia</option> <option value="Austria">Austria</option> <option value="Azerbaijan">Azerbaijan</option> <option value="Bahamas">Bahamas</option> <option value="Bahrain">Bahrain</option> <option value="Bangladesh">Bangladesh</option> <option value="Barbados">Barbados</option> <option value="Belarus">Belarus</option> <option value="Belgium">Belgium</option> <option value="Belize">Belize</option> <option value="Benin">Benin</option> <option value="Bermuda">Bermuda</option> <option value="Bhutan">Bhutan</option> <option value="Bolivia">Bolivia</option> <option value="Bosnia and Herzegovina">Bosnia and Herzegovina</option> <option value="Botswana">Botswana</option> <option value="Bouvet Island">Bouvet Island</option> <option value="Brazil">Brazil</option> <option value="British Indian Ocean Territory">British Indian Ocean Territory</option> <option value="Brunei Darussalam">Brunei Darussalam</option> <option value="Bulgaria">Bulgaria</option> <option value="Burkina Faso">Burkina Faso</option> <option value="Burundi">Burundi</option> <option value="Cambodia">Cambodia</option> <option value="Cameroon">Cameroon</option> <option value="Canada">Canada</option> <option value="Canadian Nunavut Territory">Canadian Nunavut Territory</option> <option value="Cape Verde">Cape Verde</option> <option value="Cayman Islands">Cayman Islands</option> <option value="Central African Republic">Central African Republic</option> <option value="Chad">Chad</option> <option value="Chile">Chile</option> <option value="China">China</option> <option value="Christmas Island">Christmas Island</option> <option value="Cocos (Keeling Islands)">Cocos (Keeling Islands)</option> <option value="Colombia">Colombia</option> <option value="Comoros">Comoros</option> <option value="Congo">Congo</option> <option value="Cook Islands">Cook Islands</option> <option value="Costa Rica">Costa Rica</option> <option value="Cote D'Ivoire (Ivory Coast)">Cote D'Ivoire (Ivory Coast)</option> <option value="Croatia (Hrvatska)">Croatia (Hrvatska)</option> <option value="Cuba">Cuba</option> <option value="Cyprus">Cyprus</option> <option value="Czech Republic">Czech Republic</option> <option value="Denmark">Denmark</option> <option value="Djibouti">Djibouti</option> <option value="Dominica">Dominica</option> <option value="Dominican Republic">Dominican Republic</option> <option value="East Timor">East Timor</option> <option value="Ecuador">Ecuador</option> <option value="Egypt">Egypt</option> <option value="El Salvador">El Salvador</option> <option value="Equatorial Guinea">Equatorial Guinea</option> <option value="Eritrea">Eritrea</option> <option value="Estonia">Estonia</option> <option value="Ethiopia">Ethiopia</option> <option value="Falkland Islands (Malvinas)">Falkland Islands (Malvinas)</option> <option value="Faroe Islands">Faroe Islands</option> <option value="Fiji">Fiji</option> <option value="Finland">Finland</option> <option value="France">France</option> <option value="France, Metropolitan">France, Metropolitan</option> <option value="French Guiana">French Guiana</option> <option value="French Polynesia">French Polynesia</option> <option value="French Southern Territories">French Southern Territories</option> <option value="Gabon">Gabon</option> <option value="Gambia">Gambia</option> <option value="Georgia">Georgia</option> <option value="Germany">Germany</option> <option value="Ghana">Ghana</option> <option value="Gibraltar">Gibraltar</option> <option value="Greece">Greece</option> <option value="Greenland">Greenland</option> <option value="Grenada">Grenada</option> <option value="Guadeloupe">Guadeloupe</option> <option value="Guam">Guam</option> <option value="Guatemala">Guatemala</option> <option value="Guinea">Guinea</option> <option value="Guinea-Bissau">Guinea-Bissau</option> <option value="Guyana">Guyana</option> <option value="Haiti">Haiti</option> <option value="Heard and McDonald Islands">Heard and McDonald Islands</option> <option value="Honduras">Honduras</option> <option value="Hong Kong">Hong Kong</option> <option value="Hungary">Hungary</option> <option value="Iceland">Iceland</option> <option value="India">India</option> <option value="Indonesia">Indonesia</option> <option value="Iran">Iran</option> <option value="Iraq">Iraq</option> <option value="Ireland">Ireland</option> <option value="Israel">Israel</option> <option value="Italy">Italy</option> <option value="Jamaica">Jamaica</option> <option value="Japan">Japan</option> <option value="Jordan">Jordan</option> <option value="Kazakhstan">Kazakhstan</option> <option value="Kenya">Kenya</option> <option value="Kiribati">Kiribati</option> <option value="Korea (North)">Korea (North)</option> <option value="Korea (South)">Korea (South)</option> <option value="Kuwait">Kuwait</option> <option value="Kyrgyzstan">Kyrgyzstan</option> <option value="Laos">Laos</option> <option value="Latvia">Latvia</option> <option value="Lebanon">Lebanon</option> <option value="Lesotho">Lesotho</option> <option value="Liberia">Liberia</option> <option value="Libya">Libya</option> <option value="Liechtenstein">Liechtenstein</option> <option value="Lithuania">Lithuania</option> <option value="Luxembourg">Luxembourg</option> <option value="Macau">Macau</option> <option value="Macedonia">Macedonia</option> <option value="Madagascar">Madagascar</option> <option value="Malawi">Malawi</option> <option value="Malaysia">Malaysia</option> <option value="Maldives">Maldives</option> <option value="Mali">Mali</option> <option value="Malta<">Malta</option> <option value="Marshall Islands">Marshall Islands</option> <option value="Martinique">Martinique</option> <option value="Mauritania">Mauritania</option> <option value="Mauritius">Mauritius</option> <option value="Mayotte">Mayotte</option> <option value="Mexico">Mexico</option> <option value="Micronesia">Micronesia</option> <option value="Moldova">Moldova</option> <option value="Monaco">Monaco</option> <option value="Mongolia">Mongolia</option> <option value="Montserrat">Montserrat</option> <option value="Morocco">Morocco</option> <option value="Mozambique">Mozambique</option> <option value="Myanmar">Myanmar</option> <option value="Namibia">Namibia</option> <option value="Nauru">Nauru</option> <option value="Nepal">Nepal</option> <option value="Netherlands">Netherlands</option> <option value="Netherlands Antilles">Netherlands Antilles</option> <option value="New Caledonia">New Caledonia</option> <option value="New Zealand">New Zealand</option> <option value="Nicaragua">Nicaragua</option> <option value="Niger">Niger</option> <option value="Nigeria">Nigeria</option> <option value="Niue">Niue</option> <option value="Norfolk Island">Norfolk Island</option> <option value="Northern Mariana Islands">Northern Mariana Islands</option> <option value="Norway">Norway</option> <option value="Oman">Oman</option> <option value="Pakistan">Pakistan</option> <option value="Palestine">Palestine</option> <option value="Palau">Palau</option> <option value="Palestine">Palestine</option> <option value="Panama">Panama</option> <option value="Papua New Guinea">Papua New Guinea</option> <option value="Paraguay">Paraguay</option> <option value="Peru">Peru</option> <option value="Philippines">Philippines</option> <option value="Pitcairn">Pitcairn</option> <option value="Poland">Poland</option> <option value="Portugal">Portugal</option> <option value="Qatar">Qatar</option> <option value="Reunion">Reunion</option> <option value="Romania">Romania</option> <option value="Russian Federation">Russian Federation</option> <option value="Rwanda">Rwanda</option> <option value="S. Georgia and S. Sandwich Isls.">S. Georgia and S. Sandwich Isls.</option> <option value="Saint Kitts and Nevis">Saint Kitts and Nevis</option> <option value="Saint Lucia">Saint Lucia</option> <option value="Saint Vincent and The Grenadines">Saint Vincent and The Grenadines</option> <option value="Samoa">Samoa</option> <option value="San Marino">San Marino</option> <option value="Sao Tome and Principe">Sao Tome and Principe</option> <option value="Saudi Arabia">Saudi Arabia</option> <option value="Senegal">Senegal</option> <option value="Serbia">Serbia</option> <option value="Seychelles">Seychelles</option> <option value="Sierra Leone">Sierra Leone</option> <option value="Singapore">Singapore</option> <option value="Slovak Republic">Slovak Republic</option> <option value="Slovenia">Slovenia</option> <option value="Solomon Islands">Solomon Islands</option> <option value="Somalia">Somalia</option> <option value="South Africa">South Africa</option> <option value="Spain">Spain</option> <option value="Sri Lanka">Sri Lanka</option> <option value="St. Helena">St. Helena</option> <option value="St. Pierre and Miquelon">St. Pierre and Miquelon</option> <option value="Sudan">Sudan</option> <option value="Suriname">Suriname</option> <option value="Svalbard and Jan Mayen Islands">Svalbard and Jan Mayen Islands</option> <option value="Swaziland">Swaziland</option> <option value="Sweden">Sweden</option> <option value="Switzerland">Switzerland</option> <option value="Syria">Syria</option> <option value="Taiwan">Taiwan</option> <option value="Tajikistan">Tajikistan</option> <option value="Tanzania">Tanzania</option> <option value="Thailand">Thailand</option> <option value="Togo">Togo</option> <option value="Tokelau">Tokelau</option> <option value="Tonga">Tonga</option> <option value="Trinidad and Tobago">Trinidad and Tobago</option> <option value="Tunisia">Tunisia</option> <option value="Turkey">Turkey</option> <option value="Turkmenistan">Turkmenistan</option> <option value="Turks and Caicos Islands">Turks and Caicos Islands</option> <option value="Tuvalu">Tuvalu</option> <option value="US Minor Outlying Islands">US Minor Outlying Islands</option> <option value="Uganda">Uganda</option> <option value="Ukraine">Ukraine</option> <option value="United Arab Emirates">United Arab Emirates</option> <option value="United Kingdom">United Kingdom</option> <option value="United States">United States</option> <option value="Uruguay">Uruguay</option> <option value="Uzbekistan">Uzbekistan</option> <option value="Vanuatu">Vanuatu</option> <option value="Vatican City State (Holy See)">Vatican City State (Holy See)</option> <option value="Venezuela">Venezuela</option> <option value="Viet Nam">Viet Nam</option> <option value="Virgin Islands (British)">Virgin Islands (British)</option> <option value="Wallis and Futuna Islands">Wallis and Futuna Islands</option> <option value="Western Sahara">Western Sahara</option> <option value="Yemen">Yemen</option> <option value="Yugoslavia">Yugoslavia</option> <option value="Zaire">Zaire</option> <option value="Zambia">Zambia</option> <option value="Zimbabwe">Zimbabwe</option> </select> </div> </div> <div class="form-group"> <label for="inputSubject" class="col-sm-2 control-label">Category Type</label> <div class="col-sm-10"> <select class="form-control" name="SponsorType" id="SponsorType" required=""> <option value="">Select Your Category</option> <option value="Young Researcher Awards Sponsor">Young Researcher Awards Sponsor</option> <option value="Best Poster Award Sponsor">Best Poster Award Sponsor</option> <option value="Keynote Forum Sponsor">Keynote Forum Sponsor</option> <option value="Speaker Forum">Speaker Forum</option> <option value="Program Sponsor">Program Sponsor</option> <option value="Coffee Break Sponsor">Coffee Break Sponsor</option> <option value="Luncheon Sponsor">Luncheon Sponsor</option> <option value="Pre Conference Dinner Sponsor ">Pre Conference Dinner Sponsor </option> <option value="Backdrop Sponsor">Backdrop Sponsor</option> <option value="Souvenir Sponsor">Souvenir Sponsor</option> <option value="Conference Kit Sponsor">Conference Kit Sponsor</option> <option value="Podium Sponsor">Podium Sponsor</option> <option value="Lanyard Sponsor">Lanyard Sponsor</option> <option value="Add Sponsor (In Souvenir)">Add Sponsor (In Souvenir)</option> </select> </div> </div> <div class="form-group"> <label for="inputMessage" class="col-sm-2 control-label">Message</label> <div class="col-sm-10"> <textarea class="form-control" rows="3" name="inputMessage" id="inputMessage" name="message" Placeholder="Enter Your Message Here"></textarea> </div> </div> <div class="form-group"> <p class="text-center"><button type="button" id="sponsorshipBtn" class="btn btn-success">Submit</button><button type="button" class="btn btn-default" data-dismiss="modal">Close</button></p> </div> </form> </div> </div> </div> </div> <script> $(document).ready(function(){ var Emailfilter = /^([a-zA-Z0-9_\.\-])+\@(([a-zA-Z0-9\-])+\.)+([a-zA-Z0-9]{2,4})+$/; $('#sponsorshipBtn').click(function(event){ event.preventDefault(); var postData = { 'conference_name' : $('#customisedSponsorship input[id=conference_name]').val(), 'conference_url' : $('#customisedSponsorship input[id=conference_url]').val(), 'conference_email' : $('#customisedSponsorship input[id=conference_email]').val(), 'inputName' : $('#customisedSponsorship input[id=inputName]').val(), 'inputEmail' : $('#customisedSponsorship input[id=inputEmail]').val(), 'inputMobile' : $('#customisedSponsorship input[id=inputMobile]').val(), 'inputCountry' : $('#customisedSponsorship select[id=Country]').val(), 'sponsorType' : $('#customisedSponsorship select[id=SponsorType]').val(), 'inputMessage' : $('#customisedSponsorship textarea[id=inputMessage]').val(), 'confId' : $('#customisedSponsorship input[id=confId]').val(), 'country' : $('#customisedSponsorship input[id=conference_country]').val() } if (postData.inputName=='') { $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Name Required.</font>'); } else if (postData.inputEmail=='') { $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Email Required.</font>'); } else if (!Emailfilter.test(postData.inputEmail)) { $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Invalid Email.</font>'); } else if (postData.inputMobile=='') { $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Mobile Number Required.</font>'); } else if (postData.inputCountry=='') { $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Country Required.</font>'); } else if (postData.SponsorType=='') { $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Sponsor Type Required.</font>'); } else { $('#sponsorship_msg').html(""); $.ajax({ url:'http://datamining.expertconferences.org/customised_sponsorship.php', type:'post', data:postData, success: function(response){ if(response==1){ $('#sponsorship_form').html('<p style="color:green;font-weight:bold; font-size:20px; text-align:center;">Thanks for contacting us for customied sporsorship,<br/> we will get back to you soon from </p><a id="contact_mail" href="mailto:' + postData.conference_email + '">' + postData.conference_email + '</a>'); }else{ $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Sorry! Something went wrong! Try again!</font>'); } }, error:function(response){ $('#sponsorship_msg').html('<font style="color:red;font-weight:bolder;">Sorry! Something went wrong! Try again!</font>'); } }); } }); }); </script> <div class="modal fade" id="callForWebinars" tabindex="-1" role="dialog"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h3 class="modal-title text-center">Download Call for Webinars</h3> <div id="webinar_msg" class="span12 text-center"></div> </div> <div class="modal-body" id="call_for_webinar_form"> <p class="text-center text-success"><strong>Please fill the form to download Call for Webinars.</strong></p> <form class="form-horizontal" id="enquiry_form"> <input type="hidden" name="conference_url" id="conference_url" value=""> <input type="hidden" name="conference_country" id="conference_country" value=""> <input type="hidden" name="conference_name" id="conference_name" value="" /> <input type="hidden" name="conference_email" id="conference_email" value="contact.chris@theannualmeet.com" /> <input type="hidden" name="confId" id="confId" value="13201" /> <div class="form-group"> <label for="inputName" class="col-sm-2 control-label">Name</label> <div class="col-sm-10"> <input type="name" class="form-control" name="inputName" id="inputName" placeholder="Enter Your Name Here" name="name" required="required"/> </div> <div class="clear"></div> </div> <div class="form-group"> <label for="inputEmail" class="col-sm-2 control-label">Email</label> <div class="col-sm-10"> <input type="email" class="form-control" name="inputEmail" id="inputEmail" placeholder="Enter Your Email Address Here" name="email" required="required"/> </div> <div class="clear"></div> </div> <div class="form-group"> <label for="inputMobile" class="col-sm-2 control-label">Mobile Number</label> <div class="col-sm-10"> <input type="text" class="form-control" name="inputMobile" id="inputMobile" placeholder="Enter Your Mobile Number Here" name="mobile" required="required"/> </div> <div class="clear"></div> </div> <div class="form-group"> <label for="inputMobile" class="col-sm-2 control-label">Country</label> <div class="col-sm-10"> <select class="form-control" name="WebinarCountry" id="WebinarCountry" required=""> <option value="">Select country</option> <option value="United States">United States</option> <option value="United Kingdom">United Kingdom</option> <option value="Afghanistan">Afghanistan</option> <option value="Albania">Albania</option> <option value="Algeria">Algeria</option> <option value="American Samoa">American Samoa</option> <option value="Andorra">Andorra</option> <option value="Angola">Angola</option> <option value="Anguilla">Anguilla</option> <option value="Antarctica">Antarctica</option> <option value="Antigua and Barbuda">Antigua and Barbuda</option> <option value="Argentina">Argentina</option> <option value="Armenia">Armenia</option> <option value="Aruba">Aruba</option> <option value="Australia">Australia</option> <option value="Austria">Austria</option> <option value="Azerbaijan">Azerbaijan</option> <option value="Bahamas">Bahamas</option> <option value="Bahrain">Bahrain</option> <option value="Bangladesh">Bangladesh</option> <option value="Barbados">Barbados</option> <option value="Belarus">Belarus</option> <option value="Belgium">Belgium</option> <option value="Belize">Belize</option> <option value="Benin">Benin</option> <option value="Bermuda">Bermuda</option> <option value="Bhutan">Bhutan</option> <option value="Bolivia">Bolivia</option> <option value="Bosnia and Herzegovina">Bosnia and Herzegovina</option> <option value="Botswana">Botswana</option> <option value="Bouvet Island">Bouvet Island</option> <option value="Brazil">Brazil</option> <option value="British Indian Ocean Territory">British Indian Ocean Territory</option> <option value="Brunei Darussalam">Brunei Darussalam</option> <option value="Bulgaria">Bulgaria</option> <option value="Burkina Faso">Burkina Faso</option> <option value="Burundi">Burundi</option> <option value="Cambodia">Cambodia</option> <option value="Cameroon">Cameroon</option> <option value="Canada">Canada</option> <option value="Canadian Nunavut Territory">Canadian Nunavut Territory</option> <option value="Cape Verde">Cape Verde</option> <option value="Cayman Islands">Cayman Islands</option> <option value="Central African Republic">Central African Republic</option> <option value="Chad">Chad</option> <option value="Chile">Chile</option> <option value="China">China</option> <option value="Christmas Island">Christmas Island</option> <option value="Cocos (Keeling Islands)">Cocos (Keeling Islands)</option> <option value="Colombia">Colombia</option> <option value="Comoros">Comoros</option> <option value="Congo">Congo</option> <option value="Cook Islands">Cook Islands</option> <option value="Costa Rica">Costa Rica</option> <option value="Cote D'Ivoire (Ivory Coast)">Cote D'Ivoire (Ivory Coast)</option> <option value="Croatia (Hrvatska)">Croatia (Hrvatska)</option> <option value="Cuba">Cuba</option> <option value="Cyprus">Cyprus</option> <option value="Czech Republic">Czech Republic</option> <option value="Denmark">Denmark</option> <option value="Djibouti">Djibouti</option> <option value="Dominica">Dominica</option> <option value="Dominican Republic">Dominican Republic</option> <option value="East Timor">East Timor</option> <option value="Ecuador">Ecuador</option> <option value="Egypt">Egypt</option> <option value="El Salvador">El Salvador</option> <option value="Equatorial Guinea">Equatorial Guinea</option> <option value="Eritrea">Eritrea</option> <option value="Estonia">Estonia</option> <option value="Ethiopia">Ethiopia</option> <option value="Falkland Islands (Malvinas)">Falkland Islands (Malvinas)</option> <option value="Faroe Islands">Faroe Islands</option> <option value="Fiji">Fiji</option> <option value="Finland">Finland</option> <option value="France">France</option> <option value="France, Metropolitan">France, Metropolitan</option> <option value="French Guiana">French Guiana</option> <option value="French Polynesia">French Polynesia</option> <option value="French Southern Territories">French Southern Territories</option> <option value="Gabon">Gabon</option> <option value="Gambia">Gambia</option> <option value="Georgia">Georgia</option> <option value="Germany">Germany</option> <option value="Ghana">Ghana</option> <option value="Gibraltar">Gibraltar</option> <option value="Greece">Greece</option> <option value="Greenland">Greenland</option> <option value="Grenada">Grenada</option> <option value="Guadeloupe">Guadeloupe</option> <option value="Guam">Guam</option> <option value="Guatemala">Guatemala</option> <option value="Guinea">Guinea</option> <option value="Guinea-Bissau">Guinea-Bissau</option> <option value="Guyana">Guyana</option> <option value="Haiti">Haiti</option> <option value="Heard and McDonald Islands">Heard and McDonald Islands</option> <option value="Honduras">Honduras</option> <option value="Hong Kong">Hong Kong</option> <option value="Hungary">Hungary</option> <option value="Iceland">Iceland</option> <option value="India">India</option> <option value="Indonesia">Indonesia</option> <option value="Iran">Iran</option> <option value="Iraq">Iraq</option> <option value="Ireland">Ireland</option> <option value="Israel">Israel</option> <option value="Italy">Italy</option> <option value="Jamaica">Jamaica</option> <option value="Japan">Japan</option> <option value="Jordan">Jordan</option> <option value="Kazakhstan">Kazakhstan</option> <option value="Kenya">Kenya</option> <option value="Kiribati">Kiribati</option> <option value="Korea (North)">Korea (North)</option> <option value="Korea (South)">Korea (South)</option> <option value="Kuwait">Kuwait</option> <option value="Kyrgyzstan">Kyrgyzstan</option> <option value="Laos">Laos</option> <option value="Latvia">Latvia</option> <option value="Lebanon">Lebanon</option> <option value="Lesotho">Lesotho</option> <option value="Liberia">Liberia</option> <option value="Libya">Libya</option> <option value="Liechtenstein">Liechtenstein</option> <option value="Lithuania">Lithuania</option> <option value="Luxembourg">Luxembourg</option> <option value="Macau">Macau</option> <option value="Macedonia">Macedonia</option> <option value="Madagascar">Madagascar</option> <option value="Malawi">Malawi</option> <option value="Malaysia">Malaysia</option> <option value="Maldives">Maldives</option> <option value="Mali">Mali</option> <option value="Malta<">Malta</option> <option value="Marshall Islands">Marshall Islands</option> <option value="Martinique">Martinique</option> <option value="Mauritania">Mauritania</option> <option value="Mauritius">Mauritius</option> <option value="Mayotte">Mayotte</option> <option value="Mexico">Mexico</option> <option value="Micronesia">Micronesia</option> <option value="Moldova">Moldova</option> <option value="Monaco">Monaco</option> <option value="Mongolia">Mongolia</option> <option value="Montserrat">Montserrat</option> <option value="Morocco">Morocco</option> <option value="Mozambique">Mozambique</option> <option value="Myanmar">Myanmar</option> <option value="Namibia">Namibia</option> <option value="Nauru">Nauru</option> <option value="Nepal">Nepal</option> <option value="Netherlands">Netherlands</option> <option value="Netherlands Antilles">Netherlands Antilles</option> <option value="New Caledonia">New Caledonia</option> <option value="New Zealand">New Zealand</option> <option value="Nicaragua">Nicaragua</option> <option value="Niger">Niger</option> <option value="Nigeria">Nigeria</option> <option value="Niue">Niue</option> <option value="Norfolk Island">Norfolk Island</option> <option value="Northern Mariana Islands">Northern Mariana Islands</option> <option value="Norway">Norway</option> <option value="Oman">Oman</option> <option value="Pakistan">Pakistan</option> <option value="Palestine">Palestine</option> <option value="Palau">Palau</option> <option value="Palestine">Palestine</option> <option value="Panama">Panama</option> <option value="Papua New Guinea">Papua New Guinea</option> <option value="Paraguay">Paraguay</option> <option value="Peru">Peru</option> <option value="Philippines">Philippines</option> <option value="Pitcairn">Pitcairn</option> <option value="Poland">Poland</option> <option value="Portugal">Portugal</option> <option value="Qatar">Qatar</option> <option value="Reunion">Reunion</option> <option value="Romania">Romania</option> <option value="Russian Federation">Russian Federation</option> <option value="Rwanda">Rwanda</option> <option value="S. Georgia and S. Sandwich Isls.">S. Georgia and S. Sandwich Isls.</option> <option value="Saint Kitts and Nevis">Saint Kitts and Nevis</option> <option value="Saint Lucia">Saint Lucia</option> <option value="Saint Vincent and The Grenadines">Saint Vincent and The Grenadines</option> <option value="Samoa">Samoa</option> <option value="San Marino">San Marino</option> <option value="Sao Tome and Principe">Sao Tome and Principe</option> <option value="Saudi Arabia">Saudi Arabia</option> <option value="Senegal">Senegal</option> <option value="Serbia">Serbia</option> <option value="Seychelles">Seychelles</option> <option value="Sierra Leone">Sierra Leone</option> <option value="Singapore">Singapore</option> <option value="Slovak Republic">Slovak Republic</option> <option value="Slovenia">Slovenia</option> <option value="Solomon Islands">Solomon Islands</option> <option value="Somalia">Somalia</option> <option value="South Africa">South Africa</option> <option value="Spain">Spain</option> <option value="Sri Lanka">Sri Lanka</option> <option value="St. Helena">St. Helena</option> <option value="St. Pierre and Miquelon">St. Pierre and Miquelon</option> <option value="Sudan">Sudan</option> <option value="Suriname">Suriname</option> <option value="Svalbard and Jan Mayen Islands">Svalbard and Jan Mayen Islands</option> <option value="Swaziland">Swaziland</option> <option value="Sweden">Sweden</option> <option value="Switzerland">Switzerland</option> <option value="Syria">Syria</option> <option value="Taiwan">Taiwan</option> <option value="Tajikistan">Tajikistan</option> <option value="Tanzania">Tanzania</option> <option value="Thailand">Thailand</option> <option value="Togo">Togo</option> <option value="Tokelau">Tokelau</option> <option value="Tonga">Tonga</option> <option value="Trinidad and Tobago">Trinidad and Tobago</option> <option value="Tunisia">Tunisia</option> <option value="Turkey">Turkey</option> <option value="Turkmenistan">Turkmenistan</option> <option value="Turks and Caicos Islands">Turks and Caicos Islands</option> <option value="Tuvalu">Tuvalu</option> <option value="US Minor Outlying Islands">US Minor Outlying Islands</option> <option value="Uganda">Uganda</option> <option value="Ukraine">Ukraine</option> <option value="United Arab Emirates">United Arab Emirates</option> <option value="United Kingdom">United Kingdom</option> <option value="United States">United States</option> <option value="Uruguay">Uruguay</option> <option value="Uzbekistan">Uzbekistan</option> <option value="Vanuatu">Vanuatu</option> <option value="Vatican City State (Holy See)">Vatican City State (Holy See)</option> <option value="Venezuela">Venezuela</option> <option value="Viet Nam">Viet Nam</option> <option value="Virgin Islands (British)">Virgin Islands (British)</option> <option value="Wallis and Futuna Islands">Wallis and Futuna Islands</option> <option value="Western Sahara">Western Sahara</option> <option value="Yemen">Yemen</option> <option value="Yugoslavia">Yugoslavia</option> <option value="Zaire">Zaire</option> <option value="Zambia">Zambia</option> <option value="Zimbabwe">Zimbabwe</option> </select> </div> <div class="clear"></div> </div> <div class="form-group"> <label for="inputSubject" class="col-sm-2 control-label">Research Interest</label> <div class="col-sm-10"> <input type="text" class="form-control" name="inputSubject" id="inputSubject" placeholder="Enter Your Research Here" name="mobile"/> </div> <div class="clear"></div> </div> <div class="form-group"> <label for="inputMessage" class="col-sm-2 control-label">Message</label> <div class="col-sm-10"> <textarea class="form-control" rows="3" name="inputMessage" id="inputMessage" name="message" Placeholder="Enter Your Message Here"></textarea> </div> <div class="clear"></div> </div> <div class="form-group"> <p class="text-center"><button type="button" id="submitbtn" class="btn btn-success">Submit</button><button type="button" class="btn btn-default" data-dismiss="modal">Close</button></p> </div> </form> </div> </div> </div> </div> <script> $(document).ready(function(){ var Emailfilter = /^([a-zA-Z0-9_\.\-])+\@(([a-zA-Z0-9\-])+\.)+([a-zA-Z0-9]{2,4})+$/; 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Data Mining 2024 | October 17-18, 2024 | London | UK