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Strengthening links between data analysis and soft computing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Strengthening links between data analysis and soft computing/ edited by Przemyslaw Grzegorzewski ... [et al.].
other author:	Grzegorzewski, Przemyslaw.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	306 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Soft computing - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-10765-3
ISBN:	9783319107653 (electronic bk.)

Strengthening links between data analysis and soft computing
Strengthening links between data analysis and soft computing[electronic resource] /edited by Przemyslaw Grzegorzewski ... [et al.]. - Cham :Springer International Publishing :2015. - 306 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.3152194-5357 ;. - Advances in intelligent systems and computing ;173..

Soft methods in uncertainty modeling and processing -- Soft methods in statistics -- Soft methods in data analysis.

This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. 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.

ISBN: 9783319107653 (electronic bk.)

Standard No.: 10.1007/978-3-319-10765-3doiSubjects--Topical Terms:

671441
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Strengthening links between data analysis and soft computing
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020 $a 9783319107646 (paper)
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245 0 0 $a Strengthening links between data analysis and soft computing $h [electronic resource] / $c edited by Przemyslaw Grzegorzewski ... [et al.].
260 $a Cham : $c 2015. $b Springer International Publishing : $b Imprint: Springer,
300 $a 306 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.315
505 0 $a Soft methods in uncertainty modeling and processing -- Soft methods in statistics -- Soft methods in data analysis.
520 $a This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. 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.
650 0 $a Soft computing $v Congresses. $3 671441 $3 727809
650 1 4 $a Engineering. $3 561152
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
700 1 $a Grzegorzewski, Przemyslaw. $3 1062771
710 2 $a SpringerLink (Online service) $3 593884
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830 0 $a Advances in intelligent systems and computing ; $v 173. $3 884093
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-10765-3
950 $a Engineering (Springer-11647)

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