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Agents and Data Mining Interaction

9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Longbing Cao

    1. University of Technology Sydney, Sydney, Australia

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  2. Yifeng Zeng

    1. Teesside University, Middlesbrough, United Kingdom

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  3. Andreas L. Symeonidis

    1. Aristotle University of Thessaloniki, Thessaloniki, Greece

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  4. Vladimir Gorodetsky

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

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  5. Jörg P. Müller

    1. Department of Informatics, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

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  6. Philip S. Yu

    1. University of Illinois Chicago, Chicago, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8316)

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

Included in the following conference series:

Conference proceedings info: ADMI 2013.

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Table of contents (10 papers)

  1. Front Matter

    Pages I-IX
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  2. Agent Mining

    1. Front Matter

      Pages 1-1
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    2. Using Dynamic Bayesian Networks to Model User-Experience

      • Paul van Schaik, Yifeng Zeng, Iain Spears
      Pages 3-13

    3. Multi-Agent Joint Learning from Argumentation

      • Junyi Xu, Li Yao, Le Li, Jinyang Li
      Pages 14-25

    4. Towards Mining Norms in Open Source Software Repositories

      • Bastin Tony Roy Savarimuthu, Hoa Khanh Dam
      Pages 26-39

    5. The Recognition of Multiple Virtual Identities Association Based on Multi-agent System

      • Le Li, Weidong Xiao, Changhua Dai, Junyi Xu, Bin Ge
      Pages 40-50

  3. Data Mining

    1. Front Matter

      Pages 51-51
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    2. Redundant Feature Selection for Telemetry Data

      • Phillip Taylor, Nathan Griffths, Abhir Bhalerao, Thomas Popham, Xu Zhou, Alain Dunoyer
      Pages 53-65

    3. Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events

      • Yaxin Yu, Ke Yan, Xinhua Zhu, Guoren Wang, Dan Luo, Suresh Sood
      Pages 66-78

    4. Learning Heterogeneous Coupling Relationships Between Non-IID Terms

      • Mu Li, Jinjiu Li, Yuming Ou, Ya Zhang, Dan Luo, Maninder Bahtia et al.
      Pages 79-91

    5. Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes

      • Yi Wei, Ke Zhou, Ya Zhang, Hongyuan Zha
      Pages 92-110

    6. A Spectral Clustering Algorithm Based on Hierarchical Method

      • Xiwei Chen, Li Liu, Dashi Luo, Guandong Xu, Yonggang Lu, Ming Liu et al.
      Pages 111-123

    7. Transitive Identity Mapping Using Force-Based Clustering

      • H. Van Dyke Parunak, Sven Brueckner
      Pages 124-135

  4. Back Matter

    Pages 137-137
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Other volumes

  1. Agents and Data Mining Interaction

Keywords

About this book

This book constitutes the thoroughly refereed and revised selected papers from the 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, held in Saint Paul, MN, USA in May 2013. The 10 papers presented in this volume were carefully selected for inclusion in the book and are organized in topical sections named agent mining and data mining.

Editors and Affiliations

  • University of Technology Sydney, Sydney, Australia

    Longbing Cao

  • Teesside University, Middlesbrough, United Kingdom

    Yifeng Zeng

  • Aristotle University of Thessaloniki, Thessaloniki, Greece

    Andreas L. Symeonidis

  • St. Petersburg Institute for Informatics, St. Petersburg, Russia

    Vladimir Gorodetsky

  • Department of Informatics, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  • University of Illinois Chicago, Chicago, USA

    Philip S. Yu

Bibliographic Information

  • Book Title: Agents and Data Mining Interaction

  • Book Subtitle: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers

  • Editors: Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-55192-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Softcover ISBN: 978-3-642-55191-8Published: 21 May 2014

  • eBook ISBN: 978-3-642-55192-5Published: 30 April 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: IX, 137

  • Number of Illustrations: 45 b/w illustrations

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery

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