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SPECIAL SESSION Information Granulation in Data Science and Scalable Computing IEEE BIG DATA 2017 PDF Print
Written by Lukasz Sosnowski   
SPECIAL SESSION

Information Granulation in Data Science and Scalable Computing

IEEE BIG DATA 2017 CONFERENCE

December 11-14, 2017, Boston, MA, USA

 

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 Organizers:

 

Shusaku Tsumoto

Department of Medical Informatics, Faculty of Medicine, Shimane University

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Tzung-Pei Hong

Department of Computer Science and Information Engineering, National University of Kaohsiung

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S. L. Wang

Department of Information Management, National University of Kaohsiung

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Dominik Slezak

Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw

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Last Updated ( Thursday, 10 August 2017 )
 
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