Autonomous Intelligent Systems: Agents and Data Mining Internati
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Subseries of Lecture Notes in Computer Science
3505
Vladimir Gorodetsky Jiming Liu Victor A. Skormin (Eds.)
Autonomous Intelligent Systems: Agents and Data Mining International Workshop, AIS-ADM 2005 St. Petersburg, Russia, June 6-8, 2005 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Vladimir Gorodetsky St. Petersburg Institute for Informatics and Automation 39, 14-th Liniya, St. Petersburg, 199178, Russia E-mail: [email protected] Jiming Liu Hong Kong Baptist University, Kowloon Tong, Hong Kong E-mail: [email protected] Victor A. Skormin Binghamton University, Watson School of Engineering Binghamton, NY 13902, USA E-mail: [email protected]
Library of Congress Control Number: 2005926661
CR Subject Classification (1998): I.2, H.2.8, H.4, H.3, C.2.4 ISSN ISBN-10 ISBN-13
0302-9743 3-540-26164-8 Springer Berlin Heidelberg New York 978-3-540-26164-3 Springer Berlin Heidelberg New York
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Preface
This volume contains the papers presented at the International Workshop “Autonomous Intelligent Systems: Agents and Data Mining” (AIS-ADM 2005) held in St. Petersburg, Russia, during June 6–8, 2005. The workshop was organized by the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) in cooperation with Binghamton University (SUNY, USA) and the Web Intelligence Consortium. Autonomous Intelligent Systems (AIS) constitute an emerging class of intelligent information systems integrating recent advances in various technologies of Artificial Intelligence. Modern AIS incorporate multi-agent and data mining systems providing a new dimension for further progress in intelligent information technology. AIS-ADM 2005 provided an international forum to multi-agent and data mining researchers. A total of 29 papers from 15 countries relating to various aspects of both theory and applications of multi-agent systems, data mining and their joint area were submitted to AIS-ADM 2005. Out of them 17 were selected as regular presentations. Three technical sessions were organized, namely: Integr
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