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Recent advancements in multi-view da...

Pedrycz, Witold.

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Recent advancements in multi-view data analytics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advancements in multi-view data analytics/ edited by Witold Pedrycz, Shyi-Ming Chen.
other author:	Pedrycz, Witold.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	viii, 342 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	The Psychology of Conflictive Uncertainty -- How Multi-View Techniques Can Help in Processing Uncertainty -- Multi-View Clustering and Multi-View Models -- Rethinking Collaborative Clustering: A Practical and Theoretical Study within the Realm of Multi-View Clustering -- An Optimal Transport Framework for Collaborative Multi-View Clustering -- Data Anonymization through Multi-Modular Clustering.
Contained By:	Springer Nature eBook
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-030-95239-6
ISBN:	9783030952396

Recent advancements in multi-view data analytics
Recent advancements in multi-view data analytics[electronic resource] /edited by Witold Pedrycz, Shyi-Ming Chen. - Cham :Springer International Publishing :2022. - viii, 342 p. :ill. (some col.), digital ;24 cm. - Studies in big data,v. 1062197-6511 ;. - Studies in big data ;v. 106..

The Psychology of Conflictive Uncertainty -- How Multi-View Techniques Can Help in Processing Uncertainty -- Multi-View Clustering and Multi-View Models -- Rethinking Collaborative Clustering: A Practical and Theoretical Study within the Realm of Multi-View Clustering -- An Optimal Transport Framework for Collaborative Multi-View Clustering -- Data Anonymization through Multi-Modular Clustering.

This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus building in decision processes, computer vision, knowledge representation, big data, data streaming, among others. The chapters demonstrate recent pursuits in the methodology, theory, advanced algorithms, and applications of multi-view data analytics and bring new perspectives of data interpretation. The timely book will appeal to a broad readership including both researchers and practitioners interested in gaining exposure to the rapidly growing trend of multi-view data analytics and intelligent systems.

ISBN: 9783030952396

Standard No.: 10.1007/978-3-030-95239-6doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / R43 2022

Dewey Class. No.: 005.7

Recent advancements in multi-view data analytics
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245 0 0 $a Recent advancements in multi-view data analytics $h [electronic resource] / $c edited by Witold Pedrycz, Shyi-Ming Chen.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 342 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 106
505 0 $a The Psychology of Conflictive Uncertainty -- How Multi-View Techniques Can Help in Processing Uncertainty -- Multi-View Clustering and Multi-View Models -- Rethinking Collaborative Clustering: A Practical and Theoretical Study within the Realm of Multi-View Clustering -- An Optimal Transport Framework for Collaborative Multi-View Clustering -- Data Anonymization through Multi-Modular Clustering.
520 $a This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus building in decision processes, computer vision, knowledge representation, big data, data streaming, among others. The chapters demonstrate recent pursuits in the methodology, theory, advanced algorithms, and applications of multi-view data analytics and bring new perspectives of data interpretation. The timely book will appeal to a broad readership including both researchers and practitioners interested in gaining exposure to the rapidly growing trend of multi-view data analytics and intelligent systems.
650 0 $a Big data. $3 2045508
650 0 $a Database management. $3 527442
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Pedrycz, Witold. $3 899642
700 1 $a Chen, Shyi-Ming. $3 1067501
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in big data ; $v v. 106. $3 3599157
856 4 0 $u https://doi.org/10.1007/978-3-030-95239-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)