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 /  [electronic resource] : 
edited by Longbing Cao, A.E. Gorodetsky, Jiming Liu, Gerhard Weiß, Philip S. Yu. 
 - 1st ed. 2009. 
 - XII, 199 p.  online resource. 
 - Lecture Notes in Artificial Intelligence,  5680  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  5680 .
<br/><br/>Invited Talks and Papers -- Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering -- Knowledge-Based Reinforcement Learning for Data Mining -- Ubiquitous Intelligence in Agent Mining -- Agents Based Data Mining and Decision Support System -- Agent-Driven Data Mining -- Agent-Enriched Data Mining Using an Extendable Framework -- Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging -- A Self-Organized Multiagent System for Intrusion Detection -- Towards Cooperative Predictive Data Mining in Competitive Environments -- Data Mining Driven Agents -- Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform -- Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study -- A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents -- Agent Mining Applications -- Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation -- Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach -- The Complex Dynamics of Sponsored Search Markets. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783642036033 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-03603-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Artificial intelligence.<br/>Computer networks .<br/>Software engineering.<br/>Computer science.<br/>Data Mining and Knowledge Discovery.<br/>Artificial Intelligence.<br/>Computer Communication Networks.<br/>Software Engineering.<br/>Computer Science Logic and Foundations of Programming.
<br/><br/><label>LC Class. No.: </label>QA76.9.D343 
<br/><br/><label>Dewey Class. No.: </label>006.312