000 | 03100nam a22004575i 4500 | ||
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001 | 978-3-319-30537-0 | ||
003 | DE-He213 | ||
005 | 20200421111156.0 | ||
007 | cr nn 008mamaa | ||
008 | 160531s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319305370 _9978-3-319-30537-0 |
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024 | 7 |
_a10.1007/978-3-319-30537-0 _2doi |
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050 | 4 | _aQA76.575 | |
072 | 7 |
_aUG _2bicssc |
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072 | 7 |
_aCOM034000 _2bisacsh |
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082 | 0 | 4 |
_a006.7 _223 |
100 | 1 |
_aSingh, Vivek K. _eauthor. |
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245 | 1 | 0 |
_aSituation Recognition Using EventShop _h[electronic resource] / _cby Vivek K. Singh, Ramesh Jain. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXVII, 140 p. 79 illus., 75 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aMultimedia information systems. | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aMultimedia Information Systems. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
700 | 1 |
_aJain, Ramesh. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319305356 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-30537-0 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c53552 _d53552 |