Machine Learning and Data Mining in Pattern Recognition

6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings

  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5632)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5632)

Table of contents

  1. Front Matter
  2. Attribute Discretization and Data Preparation

  3. Classification

    1. Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li
      Pages 82-95
    2. Bashar Awwad Shiekh Hasan, John Q. Gan
      Pages 96-106
    3. Feng Wang, Hongbin Zhang
      Pages 107-122
    4. M. Moed, E. N. Smirnov
      Pages 123-136
    5. Frederic Stahl, Max Bramer, Mo Adda
      Pages 148-162
    6. Roberto Tronci, Giorgio Giacinto, Fabio Roli
      Pages 163-177
    7. Olga Barinova, Dmitry Vetrov
      Pages 178-190
  4. Ensemble Classifier Learning

    1. João Mendes-Moreira, Alipio Mario Jorge, Carlos Soares, Jorge Freire de Sousa
      Pages 191-205
    2. Rakkrit Duangsoithong, Terry Windeatt
      Pages 206-220
    3. Frank Rosenthal, Peter Benjamin Volk, Martin Hahmann, Dirk Habich, Wolfgang Lehner
      Pages 221-235
    4. Peipei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao
      Pages 236-250
  5. Association Rules and Pattern Mining

About these proceedings


This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009, held in Leipzig, Germany, in July 2009.

The 63 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers are organized in topical sections on attribute discretization and data preparation; classification; ensemble classifier learning; associate rules and pattern minig; support vector machines; clustering; novelty and outlier detection; learning; data mining and multimedia data; text mining; aspects of data mining; as well as data mining in medicine.


Cluster Clustering Support Vector Machine classification data mining machine learning multimedia pattern recognition text mining

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institut für Bildverarbeitung und angewandte InformatikLeipzigGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03069-7
  • Online ISBN 978-3-642-03070-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book