LEADER 03482nam  22005055  450 
001 9910254992703321
005 20200703132526.0
010   $a3-319-30537-9
024 7 $a10.1007/978-3-319-30537-0
035   $a(CKB)3710000000718262
035   $a(EBL)4537036
035   $a(DE-He213)978-3-319-30537-0
035   $a(MiAaPQ)EBC4614591
035   $a(PPN)194079163
035   $a(EXLCZ)993710000000718262
100   $a20160531d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSituation Recognition Using EventShop /$fby Vivek K. Singh, Ramesh Jain
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (152 p.)
300   $aDescription based upon print version of record.
311   $a3-319-30535-2 
320   $aIncludes bibliographical references at the end of each chapters.
327   $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.
330   $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.
606   $aMultimedia information systems
606   $aUser interfaces (Computer systems)
606   $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059
606   $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067
615  0$aMultimedia information systems.
615  0$aUser interfaces (Computer systems).
615 14$aMultimedia Information Systems.
615 24$aUser Interfaces and Human Computer Interaction.
676   $a004
700   $aSingh$b Vivek K$4aut$4http://id.loc.gov/vocabulary/relators/aut$0846859
702   $aJain$b Ramesh$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254992703321
996   $aSituation Recognition Using EventShop$91891952
997   $aUNINA