Studies in Classification, Data Analysis, and Knowledge Organization

Exploratory Data Analysis in Empirical Research

Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001

Editors: Schwaiger, Manfred, Opitz, Otto (Eds.)

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About this book

Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.

Table of contents (53 chapters)

  • Sliced Inverse Regression for High-dimensional Time Series

    Becker, C. (et al.)

    Pages 3-11

  • Symbolic Clustering of Constrained Probabilistic Data

    Brito, P. (et al.)

    Pages 12-21

  • On Memory Requirement with Normal Symbolic Form

    Csernel, M. (et al.)

    Pages 22-30

  • On the Roles of Galois Connections in Classification

    Domenach, F. (et al.)

    Pages 31-40

  • Mining Sets of Time Series: Description of Time Points

    Dugarjapov, A. (et al.)

    Pages 41-49

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-55721-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $179.00
price for USA
  • ISBN 978-3-540-44183-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Exploratory Data Analysis in Empirical Research
Book Subtitle
Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001
Editors
  • Manfred Schwaiger
  • Otto Opitz
Series Title
Studies in Classification, Data Analysis, and Knowledge Organization
Copyright
2003
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-55721-7
DOI
10.1007/978-3-642-55721-7
Softcover ISBN
978-3-540-44183-0
Series ISSN
1431-8814
Edition Number
1
Number of Pages
XVI, 536
Number of Illustrations and Tables
41 b/w illustrations
Topics