Intelligent Data Engineering and Automated Learning: 4th International Conference, Ideal 2003, Hong Kong, China, March 21-23, 2003 : Revised Papers, Volume 4

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Springer Science & Business Media, Jul 29, 2003 - Business & Economics - 1141 pages
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Intelligent Data Engineering and Automated Learning (IDEAL) was initially a biennial forum dedicated to emerging and challenging topics in intelligent data analysis, knowledge discovery, and statistical and computational learning. The huge success of recent IDEAL conferences and the continuous growth of the ?eld have compelled it to become an annual conference after 2003. It is now a major international, interdisciplinary event covering subjects from data mining, inf- mation retrieval and management, autonomous learning, and agents to ?nancial engineering, neural networks, emerging learning paradigms and systems, bio- formatics, and pattern recognition. Data analysis and processing has become a common theme and plays a crucial role in many disciplines, especially in ?nance, biology, engineering, and information technology. Demand for intelligent met- dologies and tools is immense. The multidisciplinary nature of current research is pushing the traditional boundaries and bringing new ideas and solutions, and it is the way forward. This volume contains 164 refereed and ?nally accepted papers presented at the4thInternationalConferenceonIntelligentDataEngineeringandAutomated Learning (IDEAL 2003), held in Hong Kong, March 21–23, 2003. IDEAL 2003 received a record level of submissions, 321 in total, from all over the world. They were subsequently peer-reviewed by the Program Committee. The conference was held together with the 2003 IEEE International Conference on Computat- nal Intelligence for Financial Engineering at the modern and magni?cent Hong KongConventionandExhibitionCentre.

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About the author (2003)

Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Systems and Information Engineering, Graduate School, Maebashi Institute of Technology, Japan. He is also CEO of Web Intelligence Laboratory, Inc., a new type of venture intelligent IT business company. Before moving to Maebashi Institute of Technology, he was an associate professor in Department of Computer Science and Systems Engineering, Yamaguchi University, Japan. He is also a guest professor of Beijing University of Technology since 1998. He is the co-founder and co-chair of Web Intelligence Consortium (WIC), vice chair of the executive committee of the IEEE Computer Society Technical Committee on Computational Intelligence (TCCI), the advisory board of ACM SIGART, steering committee of IEEE International Conferences on Data Mining (ICDM), the advisory board of International Rough Set Society, steering committee of Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD), coordinator and member of advisory board of a Special Interest Group on Granular Computing in Berkeley Initiative in Soft Computing (BISC/SIG-GrC). Even more information can be found on his home page http: //www.kis-lab.com/zhong/

Dr. Jiming Liu is the Head of Computer Science Department at Hong Kong Baptist University (HKBU). He leads the AAMAS/AOC Research Group (i.e., Autonomous Agents and Multi-Agent Systems / Autonomy-Oriented Computing) at HKBU. He holds a B.Sc. degree in Physics from East China Normal University in Shanghai, an M.A. degree in Educational Technology from Concordia University in Montreal, and an M.Eng. and a Ph.D. degrees both in Electrical Engineering fromMcGill University in Montreal. In Feb.-July 1999, Dr. Liu was an invited Visiting Scholar in Computer Science Department, Stanford University, where he was associated with the AI & Robotics Laboratory and taught advanced graduate classes on topics related to Robot Learning, Neural Robots, and Evolutionary Robotics. He is Guest Professor at University of Science and Technology of China, East China Normal University (Software Engineering Institute), and Beijing University of Technology, as well as Adjunct Fellow at E-Business Technology Institute (ETI - a joint partnership institute between IBM and University of Hong Kong). Dr. Liu is the co-founder of Web Intelligence Consortium (WIC), an international organization dedicated to promoting world-wide scientific research and industrial development in the era of Web and agent Intelligence. He has founded andserved, or is serving, as Program, Conference, Workshop, and General Chairs for several international conferences and workshops, including The IEEE/WIC International Conference on Web Intelligence (WI) series and The IEEE/WIC International Conference on Intelligent Agent Technology (IAT) series, and is presently serving as the Senior Program Committee Member, Program Committee Member, and Steering/Planning Committee Member for many major international conferences.

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