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Lecture Notes in Artificial Intelligence

Machine Learning and Data Mining in Pattern Recognition

Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings

Editors: Perner, Petra, Rosenfeld, Azriel (Eds.)

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About this book

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.

Table of contents (37 chapters)

Table of contents (37 chapters)
  • Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers

    Pages 1-6

    Craw, Susan

  • Graph-Based Tools for Data Mining and Machine Learning

    Pages 7-19

    Bunke, Horst

  • Simplification Methods for Model Trees with Regression and Splitting Nodes

    Pages 20-34

    Ceci, Michelangelo (et al.)

  • Learning Multi-label Alternating Decision Trees from Texts and Data

    Pages 35-49

    Comité, Francesco (et al.)

  • Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise

    Pages 50-64

    Boullé, Marc

Buy this book

eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-540-45065-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA in USD
  • ISBN 978-3-540-40504-7
  • 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
Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings
Editors
  • Petra Perner
  • Azriel Rosenfeld
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
2734
Copyright
2003
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-45065-8
DOI
10.1007/3-540-45065-3
Softcover ISBN
978-3-540-40504-7
Edition Number
1
Number of Pages
XII, 444
Topics