Details
Recent Advancements in Multi-View Data Analytics
Studies in Big Data, Band 106
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171,19 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 20.05.2022 |
| ISBN/EAN: | 9783030952396 |
| Sprache: | englisch |
| Anzahl Seiten: | 342 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p><p>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.</p><p></p><p></p>
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.
<p>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.</p><p>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.</p><p></p><p></p>
Is self-contained and easily accessible to the broad research community Offers some introductory chapters on multi-view data analytics Starts with fundamentals, moves on to methodological issues, afterward concentrates on representative algorithms
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