Agents and Data Mining Interaction 4th International Workshop, A
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 Intern
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Subseries of Lecture Notes in Computer Science
5680
Longbing Cao Vladimir Gorodetsky Jiming Liu Gerhard Weiss Philip S. Yu (Eds.)
Agents and Data Mining Interaction 4th International Workshop, ADMI 2009 Budapest, Hungary, May 10-15, 2009 Revised Selected Papers
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Series Editors Randy Goebel University of Alberta, Edmonton, Canada Jörg Siekmann University of Saarland, Saarbrücken, Germany Wolfgang Wahlster DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Longbing Cao University of Technology, Sydney, Australia E-mail: [email protected] Vladimir Gorodetsky St. Petersburg Intitute for Informatics and Automation, St. Petersburg, Russia E-mail: [email protected] Jiming Liu Hong Kong Baptist University, Kowloon Tong, Hong Kong E-mail: [email protected] Gerhard Weiss Software Competence Center Hagenberg GmbH, Hagenberg, Austria E-mail: [email protected] Philip S. Yu University of Illinois at Chicago, Chicago, IL 60607, USA E-mail: [email protected] Library of Congress Control Number: 2009931690 CR Subject Classification (1998): I.2.11, I.2, H.2.8, H.3.3, C.2.4, D.2, F.2 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-03602-3 Springer Berlin Heidelberg New York 978-3-642-03602-6 Springer Berlin Heidelberg New York
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Preface
The 2009 International Workshop on Agents and Data Mining Interaction (ADMI 2009) was a joint event with AAMAS2009. In recent years, agents and data mining interaction (ADMI), or agent mining for short, has emerged as a very promising research field. Following the success of ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the synergy between agents and data mining. As usual, the ADMI workshop encouraged and promoted theoretical and applied research and development, which aims at: – Exploiting agent-driven data mining and demonstrating how intelligent agent technology can contribute to critical data mining problems in theory and practice – Improving data mining-driven agents and showing how data mining can strengthen agent intelligenc
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