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Situation recognition using EventSho...
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Jain, Ramesh.
Situation recognition using EventShop[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
006.4
書名/作者:
Situation recognition using EventShop/ by Vivek K. Singh, Ramesh Jain.
作者:
Singh, Vivek K.
其他作者:
Jain, Ramesh.
出版者:
Cham : : Springer International Publishing :, 2016.
面頁冊數:
xvii, 140 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Pattern recognition systems.
標題:
Data mining.
標題:
Computer Science.
標題:
Multimedia Information Systems.
標題:
User Interfaces and Human Computer Interaction.
ISBN:
9783319305370
ISBN:
9783319305356
內容註:
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.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-3-319-30537-0
Situation recognition using EventShop[electronic resource] /
Singh, Vivek K.
Situation recognition using EventShop
[electronic resource] /by Vivek K. Singh, Ramesh Jain. - Cham :Springer International Publishing :2016. - xvii, 140 p. :ill. (some col.), digital ;24 cm.
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.
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.
ISBN: 9783319305370
Standard No.: 10.1007/978-3-319-30537-0doiSubjects--Topical Terms:
189561
Pattern recognition systems.
LC Class. No.: TK7882.P3
Dewey Class. No.: 006.4
Situation recognition using EventShop[electronic resource] /
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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.
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