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} </script> <div class="portlet" id="yw0"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-tasks"></i> Conference Information</div> </div> <div class="portlet-content"> <div align="center"> <h5>SDABDT 2023: International Conference on Statistics, Data Analytics and Big Data Technology</h5> <a href="http://www.sdabdt.net/">http://www.sdabdt.net/</a> <br /> <table border="0" align="center" cellpadding="0" cellspacing="1"> <tr> <td width="150" height="25"><div align="center">Submission Date:</div></td> <td width="150"><div align="center">2023-05-28 <span class="label label-important"><small>Extended</small></span></div></td> </tr> <tr> <td width="150" height="25"><div align="center">Notification Date:</div></td> <td width="150"><div align="center">2023-06-05</div></td> </tr> <tr> <td width="150" height="25"><div align="center">Conference Date:</div></td> <td width="150"><div align="center">2023-06-23</div></td> </tr> <tr> <td width="150" height="25"><div align="center">Location:</div></td> <td width="150"><div align="center">Qingdao, China</div></td> </tr> </table> <div class="hidden-phone" align="center"> Viewed: <span class="badge badge-success">4099</span>   Tracked: <span class="badge badge-warning">1</span>   Attend: <span class="badge badge-important">1</span> </div> </div> <br /> </div> </div> <div class="portlet" id="yw1"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-bullhorn"></i> Call For Papers</div> </div> <div class="portlet-content"> <pre>【EI/Scopus检索】2023年统计、数据分析和大数据技术国际会议(SDABDT 2023) 2023 International Conference on Statistics, Data Analytics and Big Data Technology (SDABDT 2023) 【会议官网】：http://www.sdabdt.net/ 【会议地点】：青岛，中国【会议日期】：2023年6月23-25日 *【出版与检索】: ★该会议接受的所有文章将发表在会议论文集里，出版后提交EI核心和Scopus检索。 *【投稿方式】: 1.线上投稿系统: https://cmt3.research.microsoft.com/SDABDT2023 2.投稿邮箱: sdabdt@applied-computing.net 投稿指南: http://www.sdabdt.net/submission.html *【联系方式】: 会议官网: http://www.sdabdt.net/ 会议邮箱: sdabdt@applied-computing.net 电话咨询：13502461341(微信同号) QQ咨询：2056773349 若您有任何投稿或参会的疑问，请随时联系我们，您将得到最及时细致的回复。 *【会议简介】： 2023年统计、数据分析和大数据技术国际会议(SDABDT 2023)将于2023年6月23-25日在中国青岛举行。该会议由国际计算机应用技术学会举办，印度工程师技术研究所赞助。在即将举行的该次会议上，我们邀请到学术领域的知名教授将与参会者分享在统计、数据分析和大数据技术领域的最新创新和研究成果。会议将主要以知名专家的主题演讲和作者的同行评审的论文报告为特色。此外，还将为参会者安排社交活动或学术访问，以促进该领域研究人员之间的交流、讨论与合作。所有论文必须用英文撰写，并由大会技术委员会进行同行评审，所有被录用的论文将发表在会议论文集里，并提交EI核心和Scopus (Elsevier)检索。 *【大会主讲嘉宾】： Chair Prof. Chin-Chen Chang, Feng Chia University,Taiwan (IEEE Fellow and CS Fellow) Prof. Shahram Latifi, University of Nevada, Las Vegas, USA (IEEE Fellow) Prof. Hai Jin, Huazhong University of Science and Technology, China (IEEE Fellow) Assoc. Prof. Hamed Taherdoost, University Canada West, Canada (IEEE Senior Member) *【征稿主题】: 探索性数据分析大数据搜索算法与系统天体统计学统计和数学建模分布式和对等搜索生物统计学大数据分析大数据搜索体系结构、可扩展性和效率商业统计数据挖掘数据采集、集成、清理和最佳实践云计算架构和系统大数据可视化分析数据科学 ETL和大数据库计算建模和数据集成能源统计数据可视化云/网格/流数据挖掘-大速度数据工程统计统计分析链接和图形挖掘 (更多会议主题: http://www.sdabdt.net/topic.html) *【投稿须知】： 1.会议的官方语言为英语，请务必用英语撰写论文。 2.审稿周期为1-2周左右。 3.论文应为原创文章且从未公开发表，禁止抄袭，禁止一稿多投。 4.投稿后1-2周内出结果，审核快的话，7天之内就能出结果，早投稿早审核，早发录用通知。 </pre><div class="alert alert-warning"> Last updated by <a href="/researcher/31558">Linda Ye</a> in 2023-05-25</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 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Investigation</a></td><td>2.000</td><td>Elsevier</td><td>2666-2825</td></tr> <tr class="odd"> <td><span class="badge badge-warning">c</span></td><td><a href="/journal/315">IEEE Transactions on Cloud Computing</a></td><td>5.300</td><td>IEEE</td><td>2168-7161</td></tr> <tr class="even"> <td></td><td><a href="/journal/1120">Materials Science and Engineering: R: Reports</a></td><td>31.60</td><td>Elsevier</td><td>0927-796X</td></tr> <tr class="odd"> <td><span class="badge badge-warning">b</span></td><td><a href="/journal/177">Computational Linguistics</a></td><td>3.700</td><td>MIT Press</td><td>0891-2017</td></tr> <tr class="even"> <td></td><td><a href="/journal/579">Enterprise Information Systems</a></td><td>4.400</td><td>Taylor & Francis</td><td>1751-7575</td></tr> <tr class="odd"> <td></td><td><a href="/journal/865">Photonics and Nanostructures - Fundamentals and Applications</a></td><td>2.500</td><td>Elsevier</td><td>1569-4410</td></tr> <tr class="even"> <td></td><td><a 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</thead> <tbody> <tr class="odd"> <td><a href="/journal/1020">Technology and Health Care</a></td><td>1.400</td><td>IOS Press</td></tr> <tr class="even"> <td><a href="/journal/1121">Forensic Science International: Digital Investigation</a></td><td>2.000</td><td>Elsevier</td></tr> <tr class="odd"> <td><a href="/journal/315">IEEE Transactions on Cloud Computing</a></td><td>5.300</td><td>IEEE</td></tr> <tr class="even"> <td><a href="/journal/1120">Materials Science and Engineering: R: Reports</a></td><td>31.60</td><td>Elsevier</td></tr> <tr class="odd"> <td><a href="/journal/177">Computational Linguistics</a></td><td>3.700</td><td>MIT Press</td></tr> <tr class="even"> <td><a href="/journal/579">Enterprise Information Systems</a></td><td>4.400</td><td>Taylor & Francis</td></tr> <tr class="odd"> <td><a href="/journal/865">Photonics and Nanostructures - Fundamentals and Applications</a></td><td>2.500</td><td>Elsevier</td></tr> <tr class="even"> <td><a href="/journal/726">Journal of the Association of Information Systems</a></td><td>7.000</td><td>Association for Information Systems</td></tr> <tr class="odd"> <td><a href="/journal/764">Engineering</a></td><td>10.10</td><td>Elsevier</td></tr> <tr class="even"> <td><a href="/journal/81">Empirical Software Engineering</a></td><td>3.500</td><td>Springer</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/4533"><span>1020</span><span>1121</span><span>315</span><span>1120</span><span>177</span><span>579</span><span>865</span><span>726</span><span>764</span><span>81</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" 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