Overview
- 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
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 190)
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Table of contents(61 papers)
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Invited Papers
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Foundations
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Statistical Methods
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.
Editors and Affiliations
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Faculty of Computer Science, Otto-von-Guericke University of Magdebur, Magdeburg, Germany
Rudolf Kruse
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, FB Informatik & Informationswissenschaft, University of Konstanz, Konstanz, Germany
Michael R. Berthold
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of Magdeburg, Faculty of Computer Science, Otto-von-Guericke University, Magdeburg, Germany
Christian Moewes
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, Department of Statistics and OR, University of Oviedo, Oviedo, Spain
María Ángeles Gil
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Przemysław Grzegorzewski, Olgierd Hryniewicz
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
DOI: https://doi.org/10.1007/978-3-642-33042-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-33041-4Published: 07 September 2012
eBook ISBN: 978-3-642-33042-1Published: 13 September 2012
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVI, 584
Number of Illustrations: 74 b/w illustrations
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