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020 _a9783319305370
024 7 _a10.1007/978-3-319-30537-0
_2doi
040 _aES-MaUEC
050 4 _aTK7882.P3
_bS56 2016 EB
082 0 4 _a006.7
100 1 _aSingh, Vivek K.
_998901
_0Local
245 1 0 _aSituation Recognition Using EventShop
_cby Vivek K Singh, Ramesh Jain
264 1 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (XVII, 140 p.)
_b79 ilustraciones, 75 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aIntroduction -- Understanding and Using Situations -- Related Work on Situation Recognition -- Overall Framework for Situation Recognition: Overview -- Situation Modeling -- Data Representation and Situation Recognition Operators -- EventShop: System Architecture -- Using EventShop -- Case Studies: Using EventShop for Creating Multiple Situation Recognition Applications -- Research Directions: Challenges and Opportunities.
520 _aThis book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise. The book is useful for both practitioners and researchers working in the field of situation-aware computing. It acts as a primer for data-enthusiasts and information professionals interested in harnessing the value of heterogeneous big data for building diverse situation-based applications. It also can be used as a reference text by researchers working in areas as varied as database design, multimodel concept recognition, and middle-ware and ubiquitous computing to design and develop frameworks that allow users to create their own situation recognition frameworks.
710 2 _aSpringerLink (Online service)
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988 _aEBOOK, EBSPRINGER
650 7 _aReconocimiento de formas
_0comprobar BNE19971825400
_2embne
_9152614
650 7 _aData mining
_0comprobar BNE20033218554
_2embne
_9162648
650 7 _aMultimedia
_0comprobar BNE19930048068
_2embne
_9147630
650 7 _aInterfaces de usuario
_0comprobar BNE19942283252
_2embne
_9149839
700 1 _aJain, Ramesh
_998902
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-30537-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319305370
907 _a.b12950087
_b10-10-17
_c21-11-16
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