Overview
- 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
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Table of contents (10 chapters)
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Understanding and Defining Situations
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A Framework for Recognizing Situations
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EventShop: An Open-Source Toolkit for Situation Recognition
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Situation Recognition Using EventShop
Authors: Vivek K. Singh, Ramesh Jain
DOI: https://doi.org/10.1007/978-3-319-30537-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2016
Hardcover ISBN: 978-3-319-30535-6Published: 07 June 2016
Softcover ISBN: 978-3-319-80832-1Published: 30 May 2018
eBook ISBN: 978-3-319-30537-0Published: 31 May 2016
Edition Number: 1
Number of Pages: XVII, 140
Number of Illustrations: 4 b/w illustrations, 75 illustrations in colour
Topics: Multimedia Information Systems, User Interfaces and Human Computer Interaction