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020 _a9783030952396
024 7 _a10.1007/978-3-030-95239-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.B45
_b2022 EB
245 0 0 _aRecent Advancements in Multi-View Data Analytics
_cedited by Witold Pedrycz, Shyi-Ming Chen
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (VIII, 342 páginas)
_b74 ilustraciones, 47 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Big Data
_x2197-6511
_v106
505 0 _aThe 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.
520 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9495511
_aDatos masivos
700 1 _aPedrycz, Witold
_d1953-
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967495
700 1 _aChen, Shyi-Ming
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998849
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030952389
776 0 8 _iPrinted edition:
_z9783030952402
776 0 8 _iPrinted edition:
_z9783030952419
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95239-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_eIG
_zSI