Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Record no. 55472)
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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. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | 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 ; |
912 ## - | |
-- | ZDB-2-ENG |
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