© 2013

Advances in Data Mining. Applications and Theoretical Aspects

13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings

  • Petra Perner


  • Up to date results

  • Fast track conference proceedings

  • State of the art research

Conference proceedings ICDM 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7987)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7987)

Table of contents

  1. Front Matter
  2. Heng Chen, Yi Jin, Yan Zhao, Yongjuan Zhang, Chengcai Chen, Jilin Sun et al.
    Pages 1-10
  3. Thomas Ludescher, Thomas Feilhauer, Anton Amann, Peter Brezany
    Pages 25-39
  4. Geert Gins, Jef Vanlaer, Pieter Van den Kerkhof, Jan F. M. Van Impe
    Pages 40-54
  5. Jaime Santos, Orlando Belo
    Pages 85-98
  6. Daniel Ribeiro, António Sanfins, Orlando Belo
    Pages 99-111
  7. Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin
    Pages 112-126
  8. Clifford A. Tawiah, Victor S. Sheng
    Pages 137-150
  9. Hoai An Le Thi, Xuan Thanh Vo, Tao Pham Dinh
    Pages 151-165
  10. Emadoddin Livani, Raymond Nguyen, Jörg Denzinger, Günther Ruhe, Scott Banack
    Pages 166-180
  11. Geeta Aggarwal, Neelima Gupta
    Pages 181-192
  12. Diren Bulut, Umman Tuğba Gursoy, Kemal Kurtulus
    Pages 193-204
  13. Yanbo J. Wang, Gang Di, Junxuan Yu, Juan Lei, Frans Coenen
    Pages 229-238
  14. Kaoru Shimada, Takashi Hanioka
    Pages 239-253

About these proceedings


This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.


case-based reasoning data warehouse learning algorithms rule optimization self-organizing maps

Editors and affiliations

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

Bibliographic information