Situation Recognition Using EventShop
Autor Vivek K. Singh, Ramesh Jainen Limba Engleză Hardback – 7 iun 2016
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.
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Specificații
ISBN-13: 9783319305356
ISBN-10: 3319305352
Pagini: 160
Ilustrații: XVII, 140 p. 79 illus., 75 illus. in color.
Dimensiuni: 160 x 241 x 15 mm
Greutate: 0.41 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319305352
Pagini: 160
Ilustrații: XVII, 140 p. 79 illus., 75 illus. in color.
Dimensiuni: 160 x 241 x 15 mm
Greutate: 0.41 kg
Ediția:1st edition 2016
Editura: Springer
Locul publicării:Cham, Switzerland
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Cuprins
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.
Caracteristici
Explains the practical implementation of EventShop, an open-source software platform Maximizes reader insight into the concept of situation recognition, i.e. deriving actionable insights from heterogeneous, real-time, big multimedia data to benefit human lives and resources in different applications Describes a framework for converting multitudes of data streams (including weather patterns, stock prices, social phenomena, traffic information, and disease incidents) into actionable insights Includes supplementary material: sn.pub/extras