Advances in Data Mining. Applications and Theoretical Aspects

14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings

  • Petra Perner
Conference proceedings ICDM 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8557)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8557)

Table of contents

  1. Front Matter
  2. Medical Data Mining

    1. Gürdal Ertek, Bengi Tokdil, İbrahim Günaydın
      Pages 1-11
  3. Text Mining in Printed Text and Web Pages

    1. Yusra Mosallam, Alaa Abi-Haidar, Jean-Gabriel Ganascia
      Pages 12-23
    2. Bo Gao, Qifeng Fan
      Pages 24-38
    3. Igor Kotenko, Andrey Chechulin, Andrey Shorov, Dmitry Komashinsky
      Pages 39-54
  4. Data Mining in the Energy Sector

  5. Data Mining in Marketing

    1. Yasuyuki Shirai, Hiroyuki Morita, Masakazu Nakamoto, Satoshi Oyama
      Pages 100-114
    2. Ginevra Virginia Lombardi, Rossella Berni
      Pages 115-129
  6. Social Media Mining

    1. Ronald Hochreiter, Christoph Waldhauser
      Pages 130-143
  7. Data Mining in Industry

    1. Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
      Pages 144-158
  8. Data Mining in Logistics

  9. Data Mining in System Biology

  10. Theoretical Aspects of Data Mining

  11. Aspects of Data Mining

    1. Nada Elgendy, Ahmed Elragal
      Pages 214-227
  12. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The 16 revised full papers presented were carefully reviewed and selected from various submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture and in process control, industry and society.


anomaly detection business intelligence content analysis and feature selection data mining data warehouse decision making information retrieval machine learning recommender systems self-organizing maps similarity measures

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer Sciences, IBaILeipzigGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-08975-1
  • Online ISBN 978-3-319-08976-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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