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Synopsis
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.
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About the Author
Ramesh Jain is a Donald Bren Professor in Information and Computer Sciences at the University of California, Irvine, where he is doing research in EventWeb and Experiential Computing for developing and building social life networks.
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Situation Recognition Using EventShop
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Situation Recognition Using EventShop
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ISBN 10: 3319305352
ISBN 13: 9783319305356
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch. Seller Inventory # 9783319305356
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Situation Recognition using EventShop
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains 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 . Seller Inventory # 117107895
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Situation Recognition Using EventShop
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch. Seller Inventory # 9783319305356
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Situation Recognition Using EventShop
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Buch. Condition: Neu. Situation Recognition Using EventShop | Vivek K. Singh (u. a.) | Buch | xvii | Englisch | 2016 | Springer | EAN 9783319305356 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 103981521
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319305356
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