Advances in Data Mining. Applications and Theoretical Aspects

12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings

  • Petra Perner
Conference proceedings ICDM 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7377)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7377)

Table of contents

  1. Front Matter
  2. Data Mining in Medicine and Biology

    1. Rainer Schmidt, Heike Weiss, Georg Fuellen
      Pages 1-8
    2. Arnis Kirshners, Serge Parshutin, Marcis Leja
      Pages 24-37
  3. Data Mining for Energy Industry

    1. Hongyan Liu, Zhiyuan Yao, Tomas Eklund, Barbro Back
      Pages 52-66
    2. Pedro Santos, Luisa F. Villa, Aníbal Reñones, Andrés Bustillo, Jesús Maudes
      Pages 67-76
  4. Data Mining in Traffic and Logistic

    1. Luís Moreira-Matias, Carlos Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
      Pages 77-91
  5. Data Mining in Telecommunication

    1. Ronnie Alves, Pedro Ferreira, Joel Ribeiro, Orlando Belo
      Pages 92-102
  6. Data Mining in Engineering

    1. Andriy Ivannikov, Mikko Jegoroff, Tommi Kärkkäinen
      Pages 103-112
    2. Jef Vanlaer, Pieter Van den Kerkhof, Geert Gins, Jan F. M. Van Impe
      Pages 121-135
  7. Theory in Data Mining

    1. Laura Welcker, Stephan Koch, Frank Dellmann
      Pages 151-165
    2. Eunkyoung Park, Younghee Kim, Ieejoon Kim, Jaeyeol Yoon, Jiyeon Lim, Ungmo Kim
      Pages 166-177
    3. Leon Bobrowski, Tomasz Łukaszuk
      Pages 178-193
  8. Theory in Data Mining: Clustering

    1. Xiaochun Wang, Xia Li Wang, D. Mitch Wilkes
      Pages 209-223
  9. Theory in Data Mining: Association Rule Mining and Decision Rule Mining

    1. Samir A. Mohamed Elsayed, Sanguthevar Rajasekaran, Reda A. Ammar
      Pages 224-235
    2. Wiesław Paja, Mariusz Wrzesień
      Pages 236-242

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.

Keywords

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

  • DOI https://doi.org/10.1007/978-3-642-31488-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-31487-2
  • Online ISBN 978-3-642-31488-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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