编程书|Situation Recognition Using EventShop

               

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Situation Recognition Using EventShopSpringer | Computer
Science | June 16 2016 | ISBN-10: 3319305352 | 138 pages | pdf | 4.67
mbAuthors: Singh, Vivek K., Jain, RameshExplains the practical
implementation of EventShop, an open-source software platformMaximizes
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 applicationsDescribes a
framework for converting multitudes of data streams (including weather
patterns, stock prices, social phenomena, traffic information, and
disease incidents) into actionable insightsThis 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.Number of Illustrations and Tables4 b/w
illustrations, 75 illustrations in colourTopicsMultimedia Information
SystemsUser Interfaces and Human Computer InteractionClick Here to Buy
the Hardcover from Springer

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