FIRST INTERNATIONAL WORKSHOP ON GRANULAR COMPUTING
AND BRAIN INFORMATICS FOR WI
(GrC&BI'06)
2006 IEEE/WIC/ACM International Joint Conference on Web Intelligence and
Intelligent Agent Technology (WI-IAT'06)
http://www.comp.hkbu.edu.hk/iwi06
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. The basic notions and principles of granular computing 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. Recently, GrC has become one of the most important topics appeared in Web Intelligence in terms of efficiency, effectiveness, robustness and uncertainty.
A long-term challenging problem related to many Web applications is Web uncertainty. In general, AI-based Web techniques can be used to handle probabilistic Web data. Granular computing, one of intelligent computation theory, taps its new application in building the intelligent Web brain.
Brain Informatics (BI) is a new interdisciplinary field to study human information processing mechanism systematically from both macro and micro points of view by cooperatively using experimental brain/cognitive technology and WI centric advanced information technology. In particular, it attempts to understand human intelligence in depth, towards a holistic view at a long-term, global field of vision, to understand the principle, models and mechanisms of human multi-perception, language, memory, reasoning and inference, learning, problem-solving, discovery and creativity.
One of the major goals of Brain Informatics (BI) is, based on new understanding and discovery of human intelligence models in BI, to yield profound advances in analyzing and understanding of the mechanism of data, knowledge, intelligence and wisdom, as well as their relationship, organization and creation process; and, WI based portal techniques will provide a new powerful platform for BI.
This workshop is intended for researchers and industry practitioners in GrC and BI to share their research results and practical development experiences in these two fields.
TOPICS OF INTEREST include, but are not limited to
- Theory and methodologies of granular computing, including rough sets as a special form for granulation
- Applications in data mining, soft computing, bioinformatics, e-Intelligence, Web Intelligence, security, distributed computing, etc.
- Human information processing mechanism
- Brain cognitive models based GrC
- Brain informatics and Data mining
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Due date for full workshop papers submission: |
July 30, 2006
August 7, 2006 |
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Final acceptance by Workshop Co-Chairs: |
August 29, 2006 |
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Notification of paper acceptance to authors: |
September 8, 2006
September 11,2006 |
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Camera-ready of accepted papers: |
September 29, 2006 |
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Workshop day: |
December 18, 2006 |
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Conference: |
December 18 - 22, 2006 |
High-quality papers in GrC and BI related areas are solicited. Papers exploring new directions or areas will receive a careful and supportive review. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. Accepted papers will be included in the Workshop Proceedings, which are expected to be published by IEEE Computer Society Press and will be available at the workshops.
Full papers have up to 4 pages (plus one page for an additional fee) in PDF versions. Please use these style files to prepare your paper.
Submission is through the WI/IAT'06 submission system as Workshop Paper. All paper accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press. At least one author of an accepted paper has to register for the conference.
If you have any question, please feel free to contact us under the following email-address: miaoduoqian@163.com or wrz977@sohu.com.
Contact People:
|
Duoqian Miao |
Tongji University, P.R.China
(E-mail: miaoduoqian@163.com) |
|
Hongyun Zhang |
Tongji University, P.R.China
(E-mail: zhangjiaye1972@hotmail.com) |
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Ruizhi Wang |
Tongji University, P.R.China
(E-mail:wrz977@sohu.com) |
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GrC&BI'06 Workshop Committee |
Steering Committee Co-Chairs:
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Duoqian Miao |
Tongji University, P.R.China
(E-mail: miaoduoqian@163.com) |
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Guoyin Wang |
Chongqing University of Posts and Telecommunications, P.R.China
(E-mail: wanggy@ieee.org) |
|
Shengfu Lu |
Beijing University of Technology, P.R.China
(E-mail: lusf@bjut.edu.cn) |
General Workshop Co-chairs:
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Cory J. Butz |
University of Regina, Canada
(E-mail: butz@cs.uregina.ca) |
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Ngoc Thanh Nguyen |
Wroclaw University of Technology, Poland
(E-mail: thanh@pwr.wroc.pl) |
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Yasufumi Takama |
Tokyo Metropolitan University, Japan
(E-mail: ytakama@cc.tmit.ac.jp) |
Program Committee:
- Andrzej Skowron, Warsaw University, Warsaw, POLAND
- Yiyu Yao, University of Regina, Regina, Canada
- Jiming Liu, University of Windsor, Windsor,Canada
- Ling Zhang, Anhui University, Anhui, China
- Houkuan Huang, Beijing Jiaotong University, Beijing, China
- Qing Liu, Nanchang University, Nanchang, china
December 18, 2006 (Monday) 9:00 am-11:30 am Room 609
9:00-9:20 Multi-aspect ERP Data Analysis for Understanding Human Calculation Related
Information Processing Mechanism
Shinichi Motomura, Akinori Hara, Ning Zhong and Jing-Long Wu
9:20-9:40 Incomplete Information Systems Processing Based on Fuzzy-Clustering
Qinghua Zhang, Guoying Wang, Jun Hu, and Xianquan Liu
9:40-10:00 Discernibility Matrix Based Algorithm for Reduction of Attributes
Ruizhi Wang, Duoqian Miao, and Guirong Hu
10:00-10:30 coffee break
10:30-10:50 Properties of the Second Type of Covering-Based Rough Sets
William Zhu
10:50-11:10 A Modified Chi2 Algorithm Based on the Significance of Attribute
Hao Zhang, Duoqian Miao, and Ruizhi Wang
11:10-11:30 Uncertainty Measure of Covering Generated Rough Set
Jun Hu, Guoyin Wang, and Qinghua Zhang
Last update: 17 November 2006
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