Lecture Notes in Artificial Intelligence

Machine Learning and Data Mining in Pattern Recognition

5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings

Editors: Perner, Petra (Ed.)

  • Covers the state of the art in machine learning and data mining
  • More than 900 pages with online files and updates
  • Includes papers on medical, biological, and environmental data mining
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eBook $159.00
price for USA (gross)
  • ISBN 978-3-540-73499-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $209.00
price for USA
  • ISBN 978-3-540-73498-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

MLDM / ICDM Medaillie Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia Gottfried Wilhelm von Leibniz, the great mathematician and son of Leipzig, was watching over us during our event in Machine Learning and Data Mining in Pattern Recognition (MLDM 2007). He can be proud of what we have achieved in this area so far. We had a great research program this year. This was the fifth MLDM in Pattern Recognition event held in Leipzig (www.mldm.de). Today, there are many international meetings carrying the title machine learning and data mining, whose topics are text mining, knowledge discovery, and applications. This meeting from the very first event has focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the view points of machine learning and data mining. Although it was a challenging program in the late 1990s, the idea has provided new starting points in pattern recognition and has influenced other areas such as cognitive computer vision. For this edition, the Program Committee received 258 submissions from 37 countries (see Fig. 1). To handle this high number of papers was a big challenge for the reviewers. Every paper was thoroughly reviewed and all authors received a detailed report on their submitted work.

Table of contents (67 chapters)

  • Data Clustering: User’s Dilemma

    Jain, Anil K.

    Pages 1-1

  • On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers

    Ekdahl, Magnus (et al.)

    Pages 2-16

  • Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods

    Hülsmann, Marco (et al.)

    Pages 17-31

  • Multi-source Data Modelling: Integrating Related Data to Improve Model Performance

    Trundle, Paul R. (et al.)

    Pages 32-46

  • An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules

    Marrocco, Claudio (et al.)

    Pages 47-60

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-540-73499-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $209.00
price for USA
  • ISBN 978-3-540-73498-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Data Mining in Pattern Recognition
Book Subtitle
5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings
Editors
  • Petra Perner
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4571
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-73499-4
DOI
10.1007/978-3-540-73499-4
Softcover ISBN
978-3-540-73498-7
Edition Number
1
Number of Pages
XIV, 916
Topics