Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Download or read book Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories written by Berkay Aydin and published by Springer. This book was released on 2018-10-15 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.