Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (9783319998725)

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.

Product details

• Format Paperback | 106 pages
• Dimensions 155 x 235 x 6.6mm | 454g
• Publication date 18 Oct 2018
• Publisher Springer International Publishing AG
• Publication City/Country Cham, Switzerland
• Language English
• Edition Statement 1st ed. 2018
• Illustrations note 32 Illustrations, color; 1 Illustrations, black and white; XIII, 106 p. 33 illus., 32 illus. in color.
• ISBN10 3319998722
• ISBN13 9783319998725

Download Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (9783319998725).pdf, available at ebookdownloadfree.co for free.

>DOWNLOAD NOW<