Special Session Information Granulation in Data Science and Scalable Computing With IEEE Big Data 2017, Dec 11-14, 2017 Boston, MA, USA http://cci.drexel.edu/bigdata/bigdata2017/ BACKGROUND: Granular Computing is a general computation approach for effectively using granules such as classes, clusters, sets, groups and intervals to build an efficient computational model for complex applications with huge amounts of data, information and knowledge. Though the label is relatively recent, the notions and principles of Granular Computing and Information Granulation, under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer paradigms in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set systems, neutrosophic computing, quotient spaces, belief functions, approximate analytics, approximate computing, and many others. SESSION SCOPE: Special Session on Information Granulation in Data Science and Scalable Computing will continue to address the issues related to Granular Computing and its applications. It will provide researchers from universities, laboratories and industry with the means to present state-of-the-art research results and methodologies in theory and applications. The session will also make it possible for scientists and developers to highlight their new research directions and new interactions with novel computing models. The session will focus particularly on currently important research tracks such as social network computing, cloud computing, cyber-security, data mining, machine learning, knowledge management, intelligent systems and soft computing (neural networks, fuzzy systems, evolutionary computation, rough sets, self-organizing systems), e-Intelligence (Web intelligence, semantic Web, Web informatics), bioinformatics and medical informatics. HIGHLIGHTS: * The session is organized as a part of the IEEE Big Data 2017 conference (December 11-14, Westin Copey Place, Boston, MA, USA), which is a well-established and highly competitive international event targeted at modern trends in big data processing and analytics. * The session is intended to be a forum for discussing concepts, issues, and methods by the leading researchers in the fundamental problems of Information Granulation and Granular Computing in an atmosphere promoting the exchange of ideas and viewpoints. * 10-page-long papers accepted to the session will be published in the IEEE Big Data 2017 conference proceedings, together with contributions submitted and accepted to the main conference track. IMPORTANT DEADLINES: Submission Deadline: September 22, 2017 Acceptance Notification: October 20, 2017 Camera-Ready: November 10, 2017 Special Session Organizer: Shusaku Tsumoto Department of Medical Informatics, Faculty of Medicine Shimane University, Japan [log in to unmask]<mailto:[log in to unmask]> Tzung-Pei Hong Department of Computer Science and Information Engineering National University of Kaohsiung [log in to unmask]<mailto:[log in to unmask]> S. L. Wang Department of Information Management National University of Kaohsiung [log in to unmask] <mailto:[log in to unmask]> Domink Slezak Institute of Computer Science Warsaw University [log in to unmask] <mailto:[log in to unmask]> Online Submission https://wi-lab.com/cyberchair/2017/bigdata17/scripts/ws_submit.php?subarea=SP ######################################################################## To unsubscribe from the IEEE-GRC-LIST list, click the following link: http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM2NTk2IENISS1BTk5PVU5DRU1FTlRTQEFDTS5PUkcgSUVFRS1HUkMtTElTVDmh70%2BO6L9q&c=SIGNOFF --------------------------------------------------------------- For news of CHI books, courses & software, join CHI-RESOURCES mailto: [log in to unmask] To unsubscribe from CHI-ANNOUNCEMENTS send an email to mailto:[log in to unmask] For further details of CHI lists see http://listserv.acm.org ---------------------------------------------------------------