Recent Advancements in Multi-View Data Analytics (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 106
Release date:	May 2022
First published:	2022
Editors:	Witold Pedrycz • Shyi-Ming Chen
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	342
Edition:	1st ed. 2022
ISBN-13:	978-3-03-095238-9
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-095238-X
Barcode:	9783030952389

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