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Agents and Data Mining Interaction

10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers

  • Longbing Cao
  • Yifeng Zeng
  • Bo An
  • Andreas L. Symeonidis
  • Vladimir Gorodetsky
  • Frans Coenen
  • Philip S. Yu
Conference proceedings ADMI 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9145)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9145)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Zhaofeng Li, Fuhan Yan, Yichuan Jiang
    Pages 26-37
  3. Muhammad Tufail, Frans Coenen, Tintin Mu, Saqib Jamshid Rind
    Pages 38-51
  4. Jinyu Zhang, Chenhui Xia, Weibo Zhang
    Pages 52-63
  5. Christos Dimou, Fani Tzima, Andreas L. Symeonidis, Pericles A. Mitkas
    Pages 64-78
  6. Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
    Pages 79-92
  7. Wenyun Wu, Biyang Ma, Shaoxin Zhang, Yifeng Zeng, Hua Mao
    Pages 104-113
  8. Mu Li, Jinjiu Li, Yuming Ou, Longbing Cao
    Pages 114-123
  9. Back Matter
    Pages 125-125

About these proceedings

Introduction

This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems.

The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining.

Keywords

agent mining artificial intelligence bayesian networks classification clustering computational intelligence data mining distributed systems intelligent agents machine learning meta-learning movement pattern multi-agent simulation multi-agent systems ontology-based customer profile pattern mining recommender systems self-managed systems semantic similarity measure software agents

Editors and affiliations

  • Longbing Cao
    • 1
  • Yifeng Zeng
    • 2
  • Bo An
    • 3
  • Andreas L. Symeonidis
    • 4
  • Vladimir Gorodetsky
    • 5
  • Frans Coenen
    • 6
  • Philip S. Yu
    • 7
  1. 1.University of Technology SydneySydneyAustralia
  2. 2.Teesside UniversityMiddlesboroughUnited Kingdom
  3. 3.Nanyang Technological UniversitySingaporeSingapore
  4. 4.Aristotle University of ThessalonikiThessalonikiGreece
  5. 5.Russian Academy of SciencesSt. PetersburgRussia
  6. 6.University of LiverpoolLiverpoolUnited Kingdom
  7. 7.University of Illinois at ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20230-3
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-20229-7
  • Online ISBN 978-3-319-20230-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site