-------- Original-Nachricht -------- Betreff: GrC 06 CFP Datum: Wed, 30 Nov 2005 10:29:40 -0500 (EST) Von: Yi Pan cscyip@techie.cs.gsu.edu Firma: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com Referenzen: 200505250922.j4P9MCEB001415@mailhost.it.jyu.fi
2006 IEEE International Conference on Granular Computing GSU, Atlanta, USA, May 10-12, 2006 Sponsored by The IEEE Computational Intelligence Society. http://www.cs.sjsu.edu/~grc/index.php
Granular Computing (GrC) is a general computation theory for effectively using granules such as classes, clusters, subsets, 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 basic notions and principles of granular computing, though under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set theories, neutrosophic computing, quotient space theory, belief functions, machine learning, databases, and many others. In the past few years, we have witnessed a renewed and fast growing interest in GrC. Granular computing has begun to play important roles in bioinformatics, e-Business, security, machine learning, data mining, high-performance computing and wireless mobile computing in terms of efficiency, effectiveness, robustness and uncertainty.
2006 IEEE International Conference on Granular Computing (IEEE-GrC2006, http://www.cs.sjsu.edu/~grc) to be held at Georgia State University in Atlanta, following the great success of IEEE-GrC2005 (Beijing, July 25-27, 2005), will continue to bring together researchers from universities, laboratories and industry to present state-of-the-art research results and methodologies in theory and applications of granular computing: - theory and methodologies of granular computing, including rough sets as a special form for granulation; - applications in data mining, soft computing, bioinformatics, e-Intelligence, security, distributed computing, etc.
Major research tracks include:
- Computational Intelligence (Neural Networks, Fuzzy Systems, Evolutionary Computation, Rough Sets, etc.) - Foundation of Data Mining and Learning (Probabilistic/Statistical Learning, Machine Learning, Kernel Machines, etc .)
Relevant application tracks include, but are not limited to:
- Bioinformatics, Medical Informatics and Chemical Informatics - e-Intelligence, Web Intelligence, Computational Web Intelligence, Web Informatics, Web Mining and Semantic Web - High-performance Computing, Grid Computing, Wireless Computing, Mobile Computing and Sensor Networks - Security
Important Dates:
Submission Deadline: Dec. 15, 2005 (extended from Nov. 20, 2005) Acceptance Notification: Jan. 15, 2006 Camera-Ready: Jan. 30, 2006 Conference: May 10-12, 2006
Submission Requirements:
Please submit a full-length paper in PDF (the maximum number of pages is 6) with the standard two-column IEEE Transactions format (IEEE Transactions Journal LaTeX and Microsoft Word Style Files can be found at here). Please don't include authors' biographies at the end of a paper.
General Co-Chairs:
T.Y. Lin, San Jose State University, USA Nick Cercone, Dalhousie University, Canada Yi Pan, Georgia State University, USA
Honorary Chairs:
Setsuo Ohsuga, University of Tokyo, Japan Zdzislaw Pawlak, Polish Academy of Sciences, Poland Stephen Smale, UC Berkeley, Toyota Technological Institute at Chicago, USA Lotfi A. Zadeh, UC Berkeley, USA
Program Committee Co-Chairs:
Yan-Qing Zhang, Georgia State University, USA Witold Pedrycz, University of Alberta, Canada Ming-Chien Shan, Hewlett Packard, USA
Program Committee Vice-Chairs:
Gary B. Fogel, Natural Selection, Inc., USA Einoshin Suzuki, Yokohama National University, Japan Thomas Whalen, Georgia State University, USA Yiyu Yao, University of Regina, Canada Gary Yen, Oklahoma State University, USA Mohammed Zaki, Rensselaer Polytechnic Institute, USA Ning Zhong, Maebashi Institute of Technology, Japan
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