Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Berkay Aydin (u. a.)

ISBN 10: 3319998722 / ISBN 13: 9783319998725

Verlag: Springer, 2018

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories | Berkay Aydin (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xiii | Englisch | 2018 | Springer | EAN 9783319998725 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 114117246

Inhaltsangabe:

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.

Bibliografische Details

Titel: Spatiotemporal Frequent Pattern Mining from ...
Verlag: Springer
Erscheinungsdatum: 2018
Einband: Taschenbuch
Zustand: Neu