Title: Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (SpringerBriefs in Computer Science)
Publisher: Springer
Publication Date: 2018
Language: English
ISBN 10: 3319998722
ISBN 13: 9783319998725
Binding: Soft cover
Condition: New

About this title

Synopsis

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.

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