Intelligent Technologies for Information Analysis / Edition 1

Intelligent Technologies for Information Analysis / Edition 1

by Ning Zhong
     
 

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. See more details below

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.

Product Details

ISBN-13:
9783540406778
Publisher:
Springer Berlin Heidelberg
Publication date:
10/05/2004
Edition description:
2004
Pages:
711
Product dimensions:
9.21(w) x 6.14(h) x 1.56(d)

Related Subjects

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.

Read More

Table of Contents

1The alchemy of intelligent IT (iIT) : a blueprint for future information technology1
2Grid-based data mining and knowledge discovery19
3The miningMart approach to knowledge discovery in databases47
4Ensemble methods and rule generation67
5Evaluation scheme for exception rule/group discovery89
6Data mining for targeted marketing109
7Mining for information discovery on the Web : overview and illustrative research135
8Mining Web logs for actionable knowledge169
9Discovery of Web robot sessions based on their navigational patterns193
10Web ontology learning and engineering : an integrated approach223
11Browsing semi-structured texts on the Web using formal concept analysis243
12Graph discovery and visualization from textual data265
13Agent networks : topological and clustering characterization291
14Finding the best agents for cooperation311
15Constructing hybrid intelligent systems for data mining from agent perspectives333
16Making agents acceptable to people
17Constraint-based neural network learning for time series predictions409
18Approximate reasoning in distributed environments433
19Soft computing pattern recognition, data mining and Web intelligence475
20Dominance-based rough set approach to knowledge discovery (I) : general perspective513
21Dominance-based rough set approach to knowledge discovery (II) : extensions and applications553
22Bayesian Ying Yang learning (I) : a unified perspective for statistical modeling615
23Bayesian Ying Yang learning (II) : a new mechanism for model selection and regularization661

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >