Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Record no. 55472)

000 -LEADER
fixed length control field 03355nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-642-33042-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111839.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120913s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642330421
-- 978-3-642-33042-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Synergies of Soft Computing and Statistics for Intelligent Data Analysis
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 584 p. 74 illus.
490 1# - SERIES STATEMENT
Series statement Advances in Intelligent Systems and Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 PART I Invited Papers -- PART II Foundations -- PART III Statistical Methods -- PART IV Mathematical Aspects -- PART V Engineering.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Kruse, Rudolf.
700 1# - AUTHOR 2
Author 2 Berthold, Michael R.
700 1# - AUTHOR 2
Author 2 Moewes, Christian.
700 1# - AUTHOR 2
Author 2 Gil, Mar�ia �Angeles.
700 1# - AUTHOR 2
Author 2 Grzegorzewski, Przemys�aw.
700 1# - AUTHOR 2
Author 2 Hryniewicz, Olgierd.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-33042-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2194-5357 ;
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-- ZDB-2-ENG

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