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Witold Pedrycz & Shyi-Ming Chen 
Recent Advancements in Multi-View Data Analytics 

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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.



€171.19
Metody Płatności

Spis treści

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.
Język Angielski ● Format PDF ● Strony 342 ● ISBN 9783030952396 ● Rozmiar pliku 8.4 MB ● Redaktor Witold Pedrycz & Shyi-Ming Chen ● Wydawca Springer International Publishing ● Miasto Cham ● Kraj CH ● Opublikowany 2022 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 8402152 ● Ochrona przed kopiowaniem Społeczny DRM

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