Details

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories


Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories


SpringerBriefs in Computer Science

von: Berkay Aydin, Rafal. A Angryk

53,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 15.10.2018
ISBN/EAN: 9783319998732
Sprache: englisch

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Beschreibungen

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

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