大葉大學圖書館 |

Spatio-temporal data streams[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.7876
書名/作者:	Spatio-temporal data streams/ by Zdravko Galic.
作者:	Galic, Zdravko.
出版者:	New York, NY : : Springer New York :, 2016.
面頁冊數:	xiv, 107 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Streaming technology (Telecommunications) - Management.
標題:	Data mining.
標題:	Computer Science.
標題:	Database Management.
標題:	Geographical Information Systems/Cartography.
標題:	Computer Communication Networks.
標題:	Graph Theory.
ISBN:	9781493965755
ISBN:	9781493965731
內容註:	Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering.
摘要、提要註:	This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
電子資源:	http://dx.doi.org/10.1007/978-1-4939-6575-5

Spatio-temporal data streams[electronic resource] /
Galic, Zdravko.

Spatio-temporal data streams[electronic resource] /by Zdravko Galic. - New York, NY :Springer New York :2016. - xiv, 107 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Introduction -- Spatio-Temporal Continuous Queries -- Spatio-Temporal Data Streams and Big Data Paradigm -- Spatio-Temporal Data Stream Clustering.

This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.

ISBN: 9781493965755

Standard No.: 10.1007/978-1-4939-6575-5doiSubjects--Topical Terms:

669513
Streaming technology (Telecommunications)
--Management.

LC Class. No.: TK5105.386

Dewey Class. No.: 006.7876

Spatio-temporal data streams[electronic resource] /
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