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Inhaltsangabe
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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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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Situation Recognition Using EventShop
Verlag:
Springer International Publishing, 2018
ISBN 10: 331980832X
ISBN 13: 9783319808321
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Zustand: 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 . Bestandsnummer des Verkäufers 448755836
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Situation Recognition Using EventShop
ISBN 10: 331980832X
ISBN 13: 9783319808321
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783319808321
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Situation Recognition Using EventShop
ISBN 10: 331980832X
ISBN 13: 9783319808321
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Taschenbuch. Zustand: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch. Bestandsnummer des Verkäufers 9783319808321
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Situation Recognition Using EventShop
Verlag:
Springer International Publishing Mai 2018, 2018
ISBN 10: 331980832X
ISBN 13: 9783319808321
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783319808321
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Situation Recognition Using EventShop
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Zustand: New. PRINT ON DEMAND pp. 140. Bestandsnummer des Verkäufers 18375669862
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Situation Recognition Using EventShop
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Zustand: New. pp. 140. Bestandsnummer des Verkäufers 26375669868
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Situation Recognition Using EventShop
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Zustand: New. Print on Demand pp. 140. Bestandsnummer des Verkäufers 370408371
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Situation Recognition Using Eventshop
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Paperback. Zustand: Brand New. reprint edition. 160 pages. 9.25x6.10x0.37 inches. In Stock. Bestandsnummer des Verkäufers 331980832X
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Situation Recognition Using EventShop
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Paperback. Zustand: New. New. book. Bestandsnummer des Verkäufers ERICA800331980832X6
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