Situation Recognition Using EventShop

This 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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Singh, Vivek K. (Συγγραφέας), Jain, Ramesh (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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024 7 |a 10.1007/978-3-319-30537-0  |2 doi 
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100 1 |a Singh, Vivek K.  |e author. 
245 1 0 |a Situation Recognition Using EventShop  |h [electronic resource] /  |c by Vivek K. Singh, Ramesh Jain. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XVII, 140 p. 79 illus., 75 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- 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 |a This 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 |a Computer science. 
650 0 |a Multimedia information systems. 
650 0 |a User interfaces (Computer systems). 
650 1 4 |a Computer Science. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a User Interfaces and Human Computer Interaction. 
700 1 |a Jain, Ramesh.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319305356 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-30537-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)