Machine Learning and Data Mining in Pattern Recognition

Third International Conference, MLDM 2003 Leipzig, Germany, July 5–7, 2003 Proceedings

  • Petra Perner
  • Azriel Rosenfeld
Conference proceedings MLDM 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2734)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Invited Talkes

  3. Decision Trees

    1. Michelangelo Ceci, Annalisa Apice, Donato Malerba
      Pages 20-34
    2. Francesco De Comité, Rémi Gilleron, Marc Tommasi
      Pages 35-49
    3. Angela Scaringella
      Pages 65-72
  4. Clustering and Its Applications

    1. Fátima Rodrigues, Jorge Duarte, Vera Figueiredo, Zita Vale, M. Cordeiro
      Pages 73-85
    2. Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo
      Pages 86-95
  5. Support Vector Machines

    1. Jian-xiong Dong, Adam Krzyżak, Ching_Y. Suen
      Pages 96-105
    2. Francesco Tortorella
      Pages 106-120
  6. Case-Based Reasoning

    1. Eva Armengol, Enric Plaza
      Pages 121-130
    2. Chunsheng Yang, Robert Orchard, Benoit Farley, Maivin Zaluski
      Pages 131-140
  7. Classification, Retrieval, and Feature Learning

    1. V. Estruch, C. Ferri, J. Hernández-Orallo, M. J. Ramírez-Quintana
      Pages 156-171
    2. Victor Mikhailovich Nedel’ko
      Pages 182-187
    3. Abdenour Hadid, Matti Pietikäinen
      Pages 188-201
    4. Jamshid Dehmeshki, Mustafa Karaköy, Manlio Valdivieso Casique
      Pages 215-223

About these proceedings

Introduction

TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Keywords

Bayesian network Fuzzy LA Support Vector Machine algorithmic learning algorithms autonom classification decision trees intelligent data analysis machine learning object recognition pattern recognition principal component analysis statistical learning

Editors and affiliations

  • Petra Perner
    • 1
  • Azriel Rosenfeld
    • 2
  1. 1.Institute of Computer Vision and Applied Computer SciencesLeipzigGermany
  2. 2.Center for Automation ResearchUniversity of MarylandCollege ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45065-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40504-7
  • Online ISBN 978-3-540-45065-8
  • Series Print ISSN 0302-9743
  • About this book