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.
Author(s): Ana L. C. Bazzan (auth.), Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu (eds.)
Series: Lecture Notes in Computer Science 5680 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 199
Tags: Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Computer Communication Networks; Software Engineering; Logics and Meanings of Programs
Front Matter....Pages -
Front Matter....Pages 1-1
Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering....Pages 3-20
Knowledge-Based Reinforcement Learning for Data Mining....Pages 21-22
Ubiquitous Intelligence in Agent Mining....Pages 23-35
Agents Based Data Mining and Decision Support System....Pages 36-49
Front Matter....Pages 51-51
Agent-Enriched Data Mining Using an Extendable Framework....Pages 53-68
Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging....Pages 69-83
A Self-Organized Multiagent System for Intrusion Detection....Pages 84-94
Towards Cooperative Predictive Data Mining in Competitive Environments....Pages 95-108
Front Matter....Pages 109-109
Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform....Pages 111-125
Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study....Pages 126-138
A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents....Pages 139-151
Front Matter....Pages 153-153
Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation....Pages 155-169
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach....Pages 170-182
The Complex Dynamics of Sponsored Search Markets....Pages 183-198
Back Matter....Pages -
