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Recent Advancements in Multi-View Data Analytics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Recent Advancements in Multi-View Data Analytics/ edited by Witold Pedrycz, Shyi-Ming Chen.
其他作者:	Chen, Shyi-Ming.
面頁冊數:	VIII, 342 p. 74 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	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. - 1st ed. 2022. - VIII, 342 p. 74 illus., 47 illus. in color.online resource. - Studies in Big Data,1062197-6511 ;. - Studies in Big Data,8.

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:

646849
Artificial Intelligence.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

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