Agents and Data Mining Interaction : 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers

by Cao, Longbing; Gorodetsky, A. e.; Liu, Jiming; Weir, Gerhard; Yu, Philip S.

• ISBN13: 9783642036026
• ISBN10: 3642036023
• Format: Paperback
• Copyright: 2009-09-01
• Publisher: Springer-Verlag New York Inc

Summary

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, held in Budapest, Hungary in May 10-15, 2009 as an associated event of AAMAS 2009, the 8th International Joint Conference on Autonomous Agents and Multiagent Systems.The 12 revised papers and 2 invited talks presented were carefully reviewed and selected from numerous submissions. Organized in topical sections on agent-driven data mining, data mining driven agents, and agent mining applications, the papers show the exploiting of agent-driven data mining and the resolving of critical data mining problems in theory and practice; how to improve data mining-driven agents, and how data mining can strengthen agent intelligence in research and practical applications. Subjects that are also addressed are exploring the integration of agents and data mining towards a super-intelligent information processing and systems, and identifying challenges and directions for future research on the synergy between agents and data mining.

Table of Contents

Invited Talks and Papers
Agents and Data Mining in Bio informatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering	p. 3
Knowledge-Based Reinforcement Learning for Data Mining	p. 21
Ubiquitous Intelligence in Agent Mining	p. 23
Agents Based Data Mining and Decision Support System	p. 36
Agent-Driven Data Mining
Agent-Enriched Data Mining Using an Extendable Framework	p. 53
Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging	p. 69
A Self-Organized Multiagent System for Intrusion Detection	p. 84
Towards Cooperative Predictive Data Mining in Competitive Environments	p. 95
Data Mining Driven Agents
Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform	p. 111
Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study	p. 126
A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents	p. 139
Agent Mining Applications
Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation	p. 155
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach	p. 170
The Complex Dynamics of Sponsored Search Markets	p. 183
Author Index	p. 199
Table of Contents provided by Ingram. All Rights Reserved.