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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

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Longbing Cao

    1. University of Technology, Sydney, Australia

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  2. Ana L. C. Bazzan

    1. Universidade Federal do Rio Grande do Sul, Brazil

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  3. Vladimir Gorodetsky

    1. St. Petersburg Institute for Informatics and Automation, Russia

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  4. Pericles A. Mitkas

    1. Aristotle University of Thessaloniki, Greece

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  5. Gerhard Weiss

    1. University of Maastricht, The Netherlands

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  6. Philip S. Yu

    1. University of Illinois at Chicago, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5980)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ADMI 2010.

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Table of contents (15 papers)

  1. Front Matter

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  2. Agents for Data Mining

    1. Front Matter

      Pages 1-1
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    2. Finding Useful Items and Links in Social and Agent Networks

      • Sandip Sen
      Pages 3-3

    3. Integrating Workflow into Agent-Based Distributed Data Mining Systems

      • Chayapol Moemeng, Xinhua Zhu, Longbing Cao
      Pages 4-15

    4. Pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment

      • Ted Carmichael, Mirsad Hadzikadic, Ognjen Gajic
      Pages 16-26

    5. Multi-agent Information Retrieval in Heterogeneous Industrial Automation Environments

      • Stephan Pech, Peter Goehner
      Pages 27-39

  3. Data Mining for Agents

    1. Front Matter

      Pages 41-41
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    2. A Data Mining Approach to Identify Obligation Norms in Agent Societies

      • Bastin Tony Roy Savarimuthu, Stephen Cranefield, Maryam Purvis, Martin Purvis
      Pages 43-58

    3. Probabilistic Modeling of Mobile Agents’ Trajectories

      • Štěpán Urban, Michal Jakob, Michal Pěchouček
      Pages 59-70

    4. Real-Time Sensory Pattern Mining for Autonomous Agents

      • Pedro Sequeira, Cláudia Antunes
      Pages 71-83

  4. Data Mining in Agents

    1. Front Matter

      Pages 85-85
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    2. Analyzing Agent-Based Simulations of Inter-organizational Networks

      • Dominik Schmitz, Thomas Arzdorf, Matthias Jarke, Gerhard Lakemeyer
      Pages 87-102

    3. Clustering in a Multi-Agent Data Mining Environment

      • Santhana Chaimontree, Katie Atkinson, Frans Coenen
      Pages 103-114

    4. Time-Based Reward Shaping in Real-Time Strategy Games

      • Martin Midtgaard, Lars Vinther, Jeppe R. Christiansen, Allan M. Christensen, Yifeng Zeng
      Pages 115-125

    5. Wise Search Engine Based on LSI

      • Yang Jianxiong, Junzo Watada
      Pages 126-136

    6. Pattern Recognition in Online Environment by Data Mining Approach

      • MohammadReza EffatParvar, Mehdi EffatParvar, Maseud Rahgozar
      Pages 137-145

  5. Agent Mining Applications

    1. Front Matter

      Pages 147-147
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    2. A Multiple System Performance Monitoring Model for Web Services

      • Yong Yang, Dan Luo, Chengqi Zhang
      Pages 149-161

    3. Implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distributed Applications and Multi-Agent Systems

      • Dionisis D. Kehagias, Dimitrios Tzovaras, Efthimia Mavridou, Kostantinos Kalogirou, Martin Becker
      Pages 162-177

    4. Minority Game Data Mining for Stock Market Predictions

      • Ying Ma, Guanyi Li, Yingsai Dong, Zengchang Qin
      Pages 178-189
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  1. Agents and Data Mining Interaction

Keywords

Editors and Affiliations

  • University of Technology, Sydney, Australia

    Longbing Cao

  • Universidade Federal do Rio Grande do Sul, Brazil

    Ana L. C. Bazzan

  • St. Petersburg Institute for Informatics and Automation, Russia

    Vladimir Gorodetsky

  • Aristotle University of Thessaloniki, Greece

    Pericles A. Mitkas

  • University of Maastricht, The Netherlands

    Gerhard Weiss

  • University of Illinois at Chicago, USA

    Philip S. Yu

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