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Advances in Intelligent Systems and Computing

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Editors: Kruse, R., Berthold, M.R., Moewes, C., Gil, M.Á., Grzegorzewski, P., Hryniewicz, O. (Eds.)

  • Presents the results of the International Conference Series on Soft Methods in Probability and Statistics SMPS'2012 held in Konstanz, Germany, October 4-6,2012 
  • Presents recent results illustrating new trends in intelligent data analysis
  • Gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics
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eBook $269.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-33042-1
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  • ebooks can be used on all reading devices
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Softcover $349.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-33041-4
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About this book

In recent years there has been a growing interest to extend classical methods for data analysis.
The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.
Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled.
About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).

This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis.
It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.
Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Table of contents (61 chapters)

  • Soft Pattern Mining in Neuroscience

    Borgelt, Christian

    Pages 3-10

  • Exploring Big Data with Scalable Soft Clustering

    Hall, Lawrence O.

    Pages 11-15

  • On Creative Uses of Word Associations

    Toivonen, Hannu (et al.)

    Pages 17-24

  • Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification

    Destercke, Sébastien (et al.)

    Pages 27-35

  • The Goodman-Nguyen Relation in Uncertainty Measurement

    Pelessoni, Renato (et al.)

    Pages 37-44

Buy this book

eBook $269.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-33042-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $349.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-33041-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Synergies of Soft Computing and Statistics for Intelligent Data Analysis
Editors
  • Rudolf Kruse
  • Michael R. Berthold
  • Christian Moewes
  • María Ángeles Gil
  • Przemysław Grzegorzewski
  • Olgierd Hryniewicz
Series Title
Advances in Intelligent Systems and Computing
Series Volume
190
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-33042-1
DOI
10.1007/978-3-642-33042-1
Softcover ISBN
978-3-642-33041-4
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XVI, 584
Number of Illustrations and Tables
74 b/w illustrations
Topics