2006 IEEE International Conference on Granular Computing

Event Detail

General Information
Dates:
Wednesday, May 10, 2006 - Friday, May 12, 2006
Days of Week:
Wednesday
Thursday
Friday
Target Audience:
Academic and Practice
Location:
GSU, Atlanta, USA
Sponsor:
Event Details/Other Comments:

2006 Sponsored by The IEEE Computational Intelligence Society.
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