EAN: 9783319998725

SPRINGERBRIEFS IN COMPUTER SCIENCE SPATIOTEMP...

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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