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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories/ by Berkay Aydin, Rafal. A Angryk.
作者:	Aydin, Berkay.
其他作者:	Angryk, Rafal. A.
面頁冊數:	XIII, 106 p. 33 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computers. -
電子資源:	https://doi.org/10.1007/978-3-319-99873-2
ISBN:	9783319998732

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Aydin, Berkay.

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories[electronic resource] /by Berkay Aydin, Rafal. A Angryk. - 1st ed. 2018. - XIII, 106 p. 33 illus., 32 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories. This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.

ISBN: 9783319998732

Standard No.: 10.1007/978-3-319-99873-2doiSubjects--Topical Terms:

565115
Computers.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 005.7

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
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