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The goal of the International Conference on Big Data and Smart Computing (BigComp), initiated by KIISE (Korean Institute of Information Scientists and Engineers), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in these emerging fields among researchers, developers, and users from academia, business and industry. Following the successes of the previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea (2015), Hong Kong, China (2016), Jeju, Korea (2017), Shanghai, China (2018), Kyoto, Japan (2019), Busan, Korea (2020), Jeju, Korea (2021), Daegu, Korea (2022), Jeju, Korea (2023), and Bangkok, Thailand (2024). The 2025 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2025) will be held in Kota Kinabalu, Malaysia. The conference is co-sponsored by IEEE and KIISE. IEEE BigComp 2025 invites authors to submit original research papers and as well original work-in-progress reports on big data and smart computing. BigComp 2025 will be held in Kota Kinabalu, Malaysia. Kota Kinabalu is the capital of Malaysia’s Sabah state in the northern part of the island of Borneo. Often referred to as KK, it’s a coastal city partly surrounded by rainforest. It's known for its bustling markets, modern boardwalk, beaches and waterfront Kota Kinabalu City Mosque. It is also a gateway to Kinabalu National Park, the home of 4,095m-high Mount Kinabalu. TOPICS of interest: We invite the submission of original research contributions in the following areas, but also welcome any original contributions that may cross the boundaries among areas or point in other novel directions. In addition, BigComp 2025 encourages submissions about products, practices, and services in industry: In particular, we strongly encourage big data and smart computing specialists in industry to submit their papers as [Industrial track papers]. • Big data analytics and social media • Big data applications / big data as a service • Big data ecosystem • Bioinformatics, multimedia, smartphones, etc. • Cloud and grid computing for big data • Crowdsourcing and human-in-the-loop • Data mining and data science • Data and information quality • Disaster analysis • Infrastructure and platform for big data and smart computing • Knowledge graph, graph data management and mining • Machine learning and AI for big data • Machine learning and AI theory and fundamentals • Mobile communications and smart location-based services • Recommender systems • Search/retrieval and generation of big data • Security and privacy for big data • Smart computing models, tools, and devices • Techniques, models and algorithms for big data • Tools and systems for big data • Understanding multi-modal data • Big data in the era of LLMs</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-10-07</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">CCF</th><th id="yw3_c1">CORE</th><th id="yw3_c2">QUALIS</th><th id="yw3_c3">Short</th><th id="yw3_c4">Full Name</th><th id="yw3_c5">Submission</th><th id="yw3_c6">Notification</th><th id="yw3_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td></td><td></td><td>ICCDE</td><td><a href="/conference/1384">International Workshop on Intelligent Computing, Communication and Data 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</table><div class="keys" style="display:none" title="/conference/1407"><span>990</span><span>1108</span><span>746</span><span>284</span><span>114</span><span>53</span><span>743</span><span>310</span><span>1122</span><span>450</span></div> </div></div> </div> </div> <div class="portlet" id="yw8"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw9"> <li><a href="http://www.myhuiban.com/conference/track/id/1407"><i class="icon icon-plus"></i>   Track It <span 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