Lecture Notes in Artificial Intelligence

Mining Complex Data

ECML/PKDD 2007 Third International Workshop, MDC 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers

Editors: Ras, Zbigniew W, Tsumoto, Shusaku, Zighed, Djamel A. (Eds.)

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About this book

This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007.

The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.

Table of contents (20 chapters)

  • Using Text Mining and Link Analysis for Software Mining

    Grcar, Miha (et al.)

    Pages 1-12

  • Generalization-Based Similarity for Conceptual Clustering

    Ferilli, S. (et al.)

    Pages 13-26

  • Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining

    Hirano, Shoji (et al.)

    Pages 27-41

  • Conceptual Clustering Applied to Ontologies

    Esposito, Floriana (et al.)

    Pages 42-56

  • Feature Selection: Near Set Approach

    Peters, James F. (et al.)

    Pages 57-71

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-68416-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-68415-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Mining Complex Data
Book Subtitle
ECML/PKDD 2007 Third International Workshop, MDC 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers
Editors
  • Zbigniew W Ras
  • Shusaku Tsumoto
  • Djamel A. Zighed
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4944
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-68416-9
DOI
10.1007/978-3-540-68416-9
Softcover ISBN
978-3-540-68415-2
Edition Number
1
Number of Pages
X, 265
Topics