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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

  6. Support Vector Machines

    1. Nicola Segata, Enrico Blanzieri
      Pages 295-310
    2. Haytham Elghazel, Khalid Benabdeslem
      Pages 322-336
  7. Clustering

    1. Tarek Smaoui, Sascha Müller, Christian Müller-Schloer
      Pages 337-346
    2. Ireneusz Czarnowski, Piotr Jȩdrzejowicz
      Pages 347-360
    3. Daniel Duarte Abdala, Xiaoyi Jiang
      Pages 361-371
    4. Tomoya Sakai, Atsushi Imiya
      Pages 372-384
    5. Luís Sarmento, Alexander Kehlenbeck, Eugénio Oliveira, Lyle Ungar
      Pages 398-412
    6. Khalid Benabdeslem, Jihene Snoussi
      Pages 413-426
  8. Novelty and Outlier Detection

    1. Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente et al.
      Pages 427-439
    2. Charlie Isaksson, Margaret H. Dunham
      Pages 440-453
    3. Manuel Mejía-Lavalle, Atlántida Sánchez Vivar
      Pages 454-464
  9. Learning

    1. Dominique Bouthinon, Henry Soldano, Véronique Ventos
      Pages 465-478
    2. Yoshiaki Okubo, Makoto Haraguchi
      Pages 479-493
    3. Katherine Moreland, Klaus Truemper
      Pages 516-524
  10. Data Mining on Multimedia Data

    1. Spiros Nikolopoulos, Georgios Th. Papadopoulos, Ioannis Kompatsiaris, Ioannis Patras
      Pages 525-539
    2. André Pereira Nunes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
      Pages 540-553
    3. Vassili Kovalev, Aliaksandr Prus, Pavel Vankevich
      Pages 554-568
    4. Qingzhong Liu, Andrew H. Sung, Mengyu Qiao
      Pages 582-593
    5. Wei-Chung Lee, Jong-Chen Chen, Shou-zhe Wu, Kuo-Ming Lin
      Pages 603-616
  11. Text Mining

    1. Hongfang Jing, Bin Wang, Yahui Yang, Yan Xu
      Pages 647-662

About these proceedings

Introduction

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.

Keywords

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 https://doi.org/10.1007/978-3-642-03070-3
  • 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
  • Buy this book on publisher's site