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© 2015

Advances in Data Mining: Applications and Theoretical Aspects

15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings

  • Petra Perner

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  • Up-to-date results

  • Fast track conference proceedings

  • State-of-the-art report

Conference proceedings ICDM 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9165)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9165)

Table of contents

  1. Front Matter
    Pages I-X
  2. Business Intelligence and Customer Relationship Management

    1. Front Matter
      Pages 1-1
    2. Hans Friedrich Witschel, Simon Loo, Kaspar Riesen
      Pages 17-31
    3. Emrah Bilgic, Mehmed Kantardzic, Ozgur Cakir
      Pages 32-44
  3. Data Mining in Medicine and System Biology

    1. Front Matter
      Pages 45-45
    2. Muhammad K. Lodhi, Janet Stifter, Yingwei Yao, Rashid Ansari, Gail M. Keenan, Diana J. Wilkie et al.
      Pages 56-68
    3. Amani AlAjlan, Ghada Badr
      Pages 69-77
  4. Aspects of Data Mining

    1. Front Matter
      Pages 79-79
    2. Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp
      Pages 94-108
    3. Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee
      Pages 109-123
    4. Ivan Kholod, Mikhail Kuprianov, Andrey Shorov
      Pages 124-138
  5. Data Mining in Finance

    1. Front Matter
      Pages 139-139
    2. Yukari Shirota, Takako Hashimoto, Tamaki Sakura
      Pages 141-152
    3. Yuri Balasanov, Alexander Doynikov, Victor Lavrent’ev, Leonid Nazarov
      Pages 153-165
    4. Steffen Priesterjahn, Maik Anderka, Timo Klerx, Uwe Mönks
      Pages 166-181
  6. Text and Document Mining

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015.

The 16 revised full papers presented were carefully reviewed and selected from numerous 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.

Keywords

Anomaly detection Bioinformatics Business intelligence Classification algorithms Clustering Data mining Data quality Decision making Feature selection Gene expression Information retrieval Machine learning Multiple regression Parallel algorithms Pathway analysis Recommender systems Self-organizing maps Similarity measures Support vector machines Topic model

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.IBaILeipzigGermany

Bibliographic information

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