Overview
Since the introduction of rough sets in 1982 by Professor Zdzisaw Pawlak, we have witnessed great advances in both theory and applications. There has been a rapid growth in research and applications of rough sets in Asia, particularly in China. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent systems design, knowledge intensive computations that signal the emergence of a knowledge technology age. The essence of growth in cutting-edge, state-of-the-art and promising knowledge technologies is closely related to learning, pattern recognition, machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing. To present state-of-the-art scientific results, encourage academic and industrial interaction, and promote collaborative research and developmental activities, in rough sets and knowledge technology worldwide, a new international conference named Rough Sets and Knowledge Technology (RSKT) is proposed. It will provide a new forum for researchers in rough sets and knowledge technology.
| Topics (included, but are not limited to): | |
Rough Computing Rough Set Theory and Applications Approximate Reasoning Rough Mereology Granular Calculi based on Rough Sets |
Computational Intelligence Evolutionary Computing Fuzzy Sets Granular Computing Neural Computing |
| Machine Learning & KDD Knowledge Discovery Statistical Learning Data Mining |
Knowledge Engineering Knowledge Acquisition, Representation, and Management Reasoning about Knowledge Decision Support Systems Expert Systems Human-Computer Interaction Knowledge-Based Systems Sapient Systems
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| Logics & Reasoning Case-Based Reasoning Non-standard logics Rough Logic Approximate Reasoning Reasoning about Knowledge Spatio-temporal Reasoning
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| Multiagent Systems & Web Autonomy-Oriented Computing Autonomous Knowledge and Information Agents Agent Systems Modeling and Methodology Agent Systems in Ubiquitous Computing Distributed Problem Solving Web-Semantics Web Mining Web-Based systems Wisdom Web
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Neuro- & Cognitive Science Categorical Perception Computational Biology Brain-Computer Models Perceptual Learning and Reasoning
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| Pattern Recognition Image processing Image recognition Signal processing
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System Engineering & Description Mathematical Modeling Petri Nets Software Engineering
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Real-life applications based on knowledge technology |
Chairs and Committees
Honorary Chairs: Setsuo Ohsuga (Japan), Zdzis?aw Pawlak (Poland), Bo Zhang (China)Conference Chairs: Zhongzhi Shi (China), Ning Zhong (Japan)
PC Chair: Guoyin Wang (China)
PC Co-Chairs: James F. Peters (Canada), Andrzej Skowron (Poland), Yiyu Yao (Canada)
Advisory Board:
Rakesh Agrawal
Bozena Kostek
Tsau Young Lin
Setsuo Ohsuga
Zdzis?aw Pawlak
Sankar K. Pal
Katia Sycara
Roman Swiniarski
Shusaku Tsumoto
Philip Yu
Patrick S.P.Wang
Bo Zhang
Steering Committee Chairs: Q. Liu, Lech Polkowski
Steering Committee:
Gianpiero Cattaneo
Nick Cercone
Andrzej Czyzewski
Patrick Doherty
Barbara Dunin-Keplicz
Salvatore Greco
Jerzy Grzymala-Busse
Masahiro Inuiguchi
Janusz Kacprzyk
Taghi M. Khoshgoftaar
Jiming Liu
Rene V. Mayorga
Mikhail Ju. Moshkov
Duoqian Miao
Mirek Pawlak
Leonid Perlovsky
Henri Prade
Zhongzhi Shi
Wladyslaw Skarbek
Andrzej Skowron
Roman Slowinski
Andrzej Szalas
Guoyin Wang
Jue Wang
Yiyu Yao
Ning Zhong
Zhi-Hua Zhou
Program Committee [To be announced]
Important dates:
Full Paper submission: December 15, 2005Acceptance notification: March 1, 2006
Final Paper submission + Registration + Copyright: March 31, 2006