Agents and Data Mining Interaction 6th International Workshop on Age
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Subseries of Lecture Notes in Computer Science
5980
Longbing Cao Ana L.C. Bazzan Vladimir Gorodetsky Pericles A. Mitkas Gerhard Weiss Philip S. Yu (Eds.)
Agents and Data Mining Interaction 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010 Toronto, ON, Canada, May 11, 2010 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] Ana L.C. Bazzan Universidade Federal do Rio Grande do Sul, Brazil E-mail: [email protected] Vladimir Gorodetsky St. Petersburg Institute for Informatics and Automation, Russia E-mail: [email protected] Pericles A. Mitkas Aristotle University of Thessaloniki, Greece E-mail: [email protected] Gerhard Weiss University of Maastricht, The Netherlands E-mail: [email protected] Philip S. Yu University of Illinois at Chicago, USA E-mail: [email protected] Library of Congress Control Number: 2010932768 CR Subject Classification (1998): I.2, H.3, H.4, H.2.8, F.1, H.5 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-15419-0 Springer Berlin Heidelberg New York 978-3-642-15419-5 Springer Berlin Heidelberg New York
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Message from the Workshop Chairs
We are pleased to welcome you to the proceedings of the 2010 International Workshop on Agents and Data Mining Interaction (ADMI 2010), held jointly with AAMAS 2010. In recent years, agents and data mining interaction (ADMI, or agent mining) has emerged as a very promising research field. Following the success of ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, AIS-ADM 2007 in St. Petersburg, ADMI 2008 in Sydney, ADMI 2009 in Budapest, the ADMI 2010 workshop in Toronto provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the coupling between agents and data mining. The ADMI 2010 workshop encouraged and promoted theoretical and applied research and development, aimed at: – Exploiting agent-enriched data mining and machine learning, and de
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