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.)
Free Preview- 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
Buy this book
- 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
Pages 3-10
-
Exploring Big Data with Scalable Soft Clustering
Pages 11-15
-
On Creative Uses of Word Associations
Pages 17-24
-
Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification
Pages 27-35
-
The Goodman-Nguyen Relation in Uncertainty Measurement
Pages 37-44
-
Table of contents (61 chapters)
Recommended for you
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
- 74 b/w illustrations
- Topics
