Recent Advancements in Multi-View Data Analytics (Studies in Big Data, Band 106) - Softcover

 
9783030952419: Recent Advancements in Multi-View Data Analytics (Studies in Big Data, Band 106)
Softcover
ISBN 10: 303095241X ISBN 13: 9783030952419
Verlag: Springer, 2023

Inhaltsangabe

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.

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Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
303095241X
ISBN 13 
9783030952419
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
352
Herausgeber
Pedrycz Witold, Chen Shyi-Ming
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

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Vorgestellte Ausgabe

ISBN 10:  303095238X ISBN 13:  9783030952389
Verlag: Springer, 2022
Hardcover