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Published 24.08.2021

IEEE BigData 2021 – Special session Information Granulation in Data Science and Scalable Computing

 

December 15-18, 2021, Orlando, FL, USA

 

Session scope:

 

Special Session on Information Granulation in Data Science and Scalable Computing will continue to address the theory and practice of computation of information granules. It will provide researchers from universities, laboratories and industry with the means to present state-of-the-art research results and methodologies for information granules. The session will also make it possible for scientists and developers to highlight their new research directions and new interactions with novel computing models utilizing the concepts of Information Granulation.

 

The session will focus – from the viewpoint of Information Granulation – on currently important research tracks such as social network computing, cloud computing, cyber-security, data mining, process mining, machine learning, statistics, knowledge management, AI-based systems, intelligent systems and soft computing (neural networks, fuzzy systems, evolutionary computation, rough sets, self-organizing systems), e-Intelligence (Web Intelligence, Semantic Web, Web Informatics), business intelligence, bioinformatics, medical informatics and IoT. The papers addressing how to rely on Information Granulation in the emerging field of XAI (Explainable AI) and how to use its principles to construct interpretable AI models are highly welcome as well.

 

 

Highlights:

 

  • The session is organized as a part of the IEEE Big Data 2021 conference (December 15-18,), 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.

  • Papers accepted to the session will be published in the IEEE Big Data 2021 conference proceedings, together with papers submitted and accepted to the main conference track.

  • Organizers are planning a special issue on mathematical framework of big data analytics in some journal, such as e.g. Granular Computing (Springer) or Big Data Mining and Analytics (Tsinghua University Press).

 

 

Submission:

 

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (https://www.ieee.org/conferences/publishing/templates.html).

Papers should be up to 10 pages (does not include references), in the IEEE 2-column format.

 

https://wi-lab.com/cyberchair/2021/bigdata21/

 

 

Special Session Organizer:

 

  • Dominik Slezak
    Institute of Informatics,
    University of Warsaw
    slezak@mimuw.edu.pl

  • Tzung-Pei Hong
    Department of Computer Science and Information Engineering
    National University of Kaohsiung
    tphong@nuk.edu.tw

  • S. L. Wang
    Department of Information Management,
    National University of Kaohsiung
    slwang@nuk.edu.tw

  • Weiping Ding
    School of Information Science and Technology,
    Nantong University
    dwp9988@hotmail.com      

 

Important dates:

 

please contact the organizers