Studies in Classification, Data Analysis, and Knowledge Organization

Data Analysis, Machine Learning and Applications

Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007

Editors: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (Eds.)

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About this book

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Reviews

From the reviews: “Data analysis and machine learning are potential research areas at the intersection of computer science (including artificial intelligence) and mathematical sciences (including both mathematics and statistics). This book contains a good collection of papers in these areas, describing their application in areas such as marketing and bioinformatics. … It is surely a must have book for any scientific library and indispensable for the scientific researcher.” (Soubhik Chakraborthy, ACM Computing Reviews, February, 2010)

Table of contents (83 chapters)

  • Distance-Based Kernels for Real-Valued Data

    Belanche, Lluís (et al.)

    Pages 3-10

  • Fast Support Vector Machine Classification of Very Large Datasets

    Fehr, Janis (et al.)

    Pages 11-18

  • Fusion of Multiple Statistical Classifiers

    Gatnar, Eugeniusz

    Pages 19-27

  • Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities

    Gebel, Martin (et al.)

    Pages 29-36

  • Classification with Invariant Distance Substitution Kernels

    Haasdonk, Bernard (et al.)

    Pages 37-44

Buy this book

eBook $179.00
price for USA
  • ISBN 978-3-540-78246-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $229.00
price for USA
  • ISBN 978-3-540-78239-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Data Analysis, Machine Learning and Applications
Book Subtitle
Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007
Editors
  • Christine Preisach
  • Hans Burkhardt
  • Lars Schmidt-Thieme
  • Reinhold Decker
Series Title
Studies in Classification, Data Analysis, and Knowledge Organization
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78246-9
DOI
10.1007/978-3-540-78246-9
Softcover ISBN
978-3-540-78239-1
Series ISSN
1431-8814
Edition Number
1
Number of Pages
XVI, 719
Topics