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Intelligent Technologies for Information Analysis / Edition 1

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Overview

This monograph presents the current state of research and development in both theoretical and application aspects of intelligent information analysis. It is a source of reference and numerous examples for researchers, graduate students and advanced professionals working in areas such as electronic commerce, business intelligence, and knowledge grids.
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Product Details

  • ISBN-13: 9783540406778
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 10/5/2004
  • Edition description: 2004
  • Edition number: 1
  • Pages: 711
  • Product dimensions: 9.21 (w) x 6.14 (h) x 1.56 (d)

Meet the Author

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 from McGill 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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Table of Contents

1 The alchemy of intelligent IT (iIT) : a blueprint for future information technology 1
2 Grid-based data mining and knowledge discovery 19
3 The miningMart approach to knowledge discovery in databases 47
4 Ensemble methods and rule generation 67
5 Evaluation scheme for exception rule/group discovery 89
6 Data mining for targeted marketing 109
7 Mining for information discovery on the Web : overview and illustrative research 135
8 Mining Web logs for actionable knowledge 169
9 Discovery of Web robot sessions based on their navigational patterns 193
10 Web ontology learning and engineering : an integrated approach 223
11 Browsing semi-structured texts on the Web using formal concept analysis 243
12 Graph discovery and visualization from textual data 265
13 Agent networks : topological and clustering characterization 291
14 Finding the best agents for cooperation 311
15 Constructing hybrid intelligent systems for data mining from agent perspectives 333
16 Making agents acceptable to people
17 Constraint-based neural network learning for time series predictions 409
18 Approximate reasoning in distributed environments 433
19 Soft computing pattern recognition, data mining and Web intelligence 475
20 Dominance-based rough set approach to knowledge discovery (I) : general perspective 513
21 Dominance-based rough set approach to knowledge discovery (II) : extensions and applications 553
22 Bayesian Ying Yang learning (I) : a unified perspective for statistical modeling 615
23 Bayesian Ying Yang learning (II) : a new mechanism for model selection and regularization 661
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