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Intelligent Technologies for Information Analysis - Ning Zhong

Intelligent Technologies for Information Analysis

By: Ning Zhong (Editor), Jiming Liu (Editor)

Hardcover Published: 12th August 2004
ISBN: 9783540406778
Number Of Pages: 711

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Intelligent Information Technology (iiT) encompasses the theories and ap­ plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com­ puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par­ ticular, advances in agents, data mining, and learning theory, from both the­ oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur­ vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession­ als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in­ telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

The Alchemy of Intelligent IT (iIT)
Emerging Data Mining Technology
Grid-Based Data Mining and Knowledge Discovery
The MiningMart Approach to Knowledge Discovery in Databases
Ensemble Methods and Rule Generation
Evaluation Scheme for Exception Rule/Group Discovery
Data Mining for Direct Marketing
Data Mining for Web Intelligence
Mining for Information Discovery on the Web
Mining Web Logs for Actionable Knowledge
Discovery of Web Robot Sessions Based on Their Navigational Patterns
Web Ontology Learning and Engineering
Browsing Semi-Structured Texts on the Web Using Formal Concept Analysis
Graph Discovery and Visualization from Textual Data
Emerging Agent Technology
Agent Networks: Topological and Clustering Characterization
Finding the Best Agents for Cooperation
Constructing Hybrid Intelligent Systems for Data Mining from Agent Perspectives
Making Agents Acceptable to People
Emerging Soft Computing Technology
Constraint-Based Neural Network Learning for Time Series Predictions
Approximate Reasoning in Distributed Environments
Soft Computing Pattern Recognition, Data Mining, and Web Intelligence
Dominance-Based Rough Set Approach to Knowledge Discovery (I)
Dominance-Based Rough Set Approach to Knowledge Discovery (II)
Statistical Learning Theory
Mining Dependence Structures (I) -- A General Statistical Learning Perspective
Mining Dependence Strucutres (II) -- An Independence Analysis Perspective
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540406778
ISBN-10: 3540406778
Audience: Tertiary; University or College
Format: Hardcover
Language: English
Number Of Pages: 711
Published: 12th August 2004
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 4.45
Weight (kg): 2.68

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