Advances in Data Mining. Applications and Theoretical Aspects

11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings

  • Petra Perner
Conference proceedings ICDM 2011

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6870)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6870)

Table of contents

  1. Front Matter
  2. Theoretical Aspects of Data Mining

  3. Data Mining in Medicine

  4. Multimedia Data Mining

  5. Data Mining in Agriculture

  6. Data Mining for Industrial Processes

  7. Data Warehousing

    1. Dung N. Lam, Alexander Y. Liu, Cheryl E. Martin
      Pages 240-254

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011.

The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.

Keywords

anomaly detection classification computational learning fraud detection medical diagnosis support time series analysis

Editors and affiliations

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-23184-1
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-23183-4
  • Online ISBN 978-3-642-23184-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book