<div dir="ltr"><p align="center" style="margin-top:0.53cm;margin-bottom:0.26cm;line-height:0.55cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt;text-align:center"><font color="#323045"><font face="Arial, serif"><font style="font-size:21pt">The Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA2021)</font></font></font></p><p align="center" style="margin-top:0px;margin-bottom:0cm;line-height:0.61cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt;text-align:center"><span style="text-transform:uppercase"><font color="#414142"><font face="Arial, serif"><font style="font-size:15pt"><span style="letter-spacing:0.3pt">NOVEMBER 15-17, 2021</span></font></font></font></span></p><p align="center" style="margin-top:0px;margin-bottom:0cm;line-height:0.61cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt;text-align:center"><span style="text-transform:uppercase"><font color="#414142"><font face="Arial, serif"><font style="font-size:15pt"><span style="letter-spacing:0.3pt">TARTU, ESTONIA.</span></font></font></font></span></p><p align="center" style="margin-top:0px;margin-bottom:0cm;line-height:0.61cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;text-align:center"><br></p><p align="justify" style="margin-top:0px;margin-bottom:0.26cm;line-height:0.57cm;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font color="#58595b"><font style="font-size:12pt">CALL FOR PAPERS</font></font></p><p align="justify" style="margin-top:0px;margin-bottom:0.26cm;line-height:0.57cm;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font color="#58595b"><font style="font-size:12pt">Huge amount of Data is being generated and transmitted every day. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference that will advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to:</font></font></p><ul><li style="margin-left:15px"><p style="margin-top:0.49cm;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Business Analytics</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Text Analytics</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Web Analytics</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Integrity</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Privacy and Security</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Warehouse</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Information Integration</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Human Behaviour Understanding</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Mining</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Semi-Structured and Unstructured Data</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Fusion</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Pattern Recognition</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Predictive Modelling</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Mining</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Statistical and Structural Pattern Recognition</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Performance Analysis and Evaluation</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Evolutionary Computing and Optimization</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Feature Selection</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Fuzzy Computing</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Hybrid Methods</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Neural Networks</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Deep Learning</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Process Mining</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Granular Computing</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Mobile data</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">City Data Management</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Transparency in Research Data</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data and Information Quality</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Data Virtualization</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Management of Sensor Data</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Semantic Web Technologies</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0.49cm;line-height:14.6667px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Big Data</font></p></li></ul><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">FULL PAPER IMPORTANT DATES</font></p><ul><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0.28cm;line-height:14.04px;background:none 0% 0% repeat scroll transparent"><font color="#ff0000"><font style="font-size:12pt">Full paper submission: July 1st, 2021</font></font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0.28cm;line-height:14.04px;background:none 0% 0% repeat scroll transparent"><font style="font-size:12pt">Full paper acceptance notification: September 15th, 2021</font></p></li><li style="margin-left:15px"><p style="margin-top:0px;margin-bottom:0.28cm;line-height:14.04px;background:none 0% 0% repeat scroll transparent"><font style="font-size:12pt">Full paper camera-ready submission: October 8th, 2021</font></p></li></ul><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">SUBMISSION GUIDELINES:</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Submission Site:</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt"><a href="https://easychair.org/conferences/?conf=idsta2021" target="_blank">https://easychair.org/conferences/?conf=idsta2021</a></font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Paper format</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Length</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review.</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Originality</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Papers submitted to IDSTA must be the original work of the authors. They may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to IDSTA. Authors should be aware that IEEE has a strict policy with regard to plagiarism <a href="https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html" target="_blank">https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html</a> The authors' prior work must be cited appropriately.</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">Publication:</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><font style="font-size:12pt">All papers that are accepted, registered, and presented in IDSTA2021 and the workshops co-located with it will be submitted to IEEEXplore for possible publication.</font></p><p style="margin-top:0px;margin-bottom:0.28cm;background:none 0% 0% repeat scroll transparent;line-height:15.84px;font-family:Calibri,serif;font-size:11pt"><span style="background-color:transparent;font-size:11pt">Best regards,</span><br></p><p style="margin-top:0px;margin-bottom:0cm;background:none 0% 0% repeat scroll transparent;line-height:16.8667px;font-family:Calibri,serif;font-size:11pt">IDSTA organising committee</p></div>