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Over the past four years, IEEE DSC has become one of the most important and attractive international conferences, mainly focusing on data science and its application in cyberspace. The conference will feature world-class speakers, workshops, demonstrations, exhibits, and innovative programs. Data Science, as a highly interdisciplinary field, is playing a more and more critical and central role in the development of cyberspace and various applications. Data science in cyberspace is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data science in cyberspace inspires novel techniques and theories drawn from many areas, such as mathematics, statistics, information theory, computer science, and social science, and involves many specific domains, such as signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high performance computing. Conference Areas: The IEEE International Conference on Data Science in Cyberspace (IEEE DSC) will bring together researchers and practitioners in the field of data science. IEEE DSC 2020 invites submissions on a wide spectrum of topics, including but not limited to the following areas: Data Science Big Data Data Intensive Applications in Cyberspace Data Intensive Systems Social Networks & Social Media Data Mining, Knowledge Discovery and Machine Learning Information Retrieval and Smart Search Cyberspace Security, Privacy and Trust Network Wisdom Data Security and Privacy</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2020-04-25</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 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title="/conference/3611"><span>1831</span><span>1910</span><span>3169</span><span>2880</span><span>3278</span><span>3695</span><span>2691</span><span>3828</span><span>1514</span><span>2652</span></div> </div></div> </div> </div> <div class="portlet" id="yw5"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw6" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw6_c0">CCF</th><th id="yw6_c1">Full Name</th><th id="yw6_c2">Impact Factor</th><th id="yw6_c3">Publisher</th><th id="yw6_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><a href="/journal/261">International Journal of UbicComp</a></td><td> </td><td>AIRCC</td><td>0976-2213</td></tr> <tr class="even"> <td></td><td><a href="/journal/313">IEEE Signal Processing 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Systems</a></td><td></td><td>ELSP</td></tr> <tr class="odd"> <td><a href="/journal/945">Journal of Mathematical Cryptology</a></td><td></td><td>Walter de Gruyter</td></tr> <tr class="even"> <td><a href="/journal/215">IEEE Transactions on Cybernetics</a></td><td>9.400</td><td>IEEE</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/3611"><span>261</span><span>313</span><span>59</span><span>1104</span><span>839</span><span>1076</span><span>148</span><span>1107</span><span>945</span><span>215</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" 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