Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Language: English

Published by Springer International Publishing Okt 2018, 2018

3319998722 / 9783319998725

Series: Book 278 of 322 - SpringerBriefs in Computer Science

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This SpringerBrief provides an overview within data mining of spatiotemporal frequentpattern mining from evolving regions to the perspective of relationshipmodeling among the spatiotemporal objects, frequent pattern miningalgorithms, and data access methodologies for mining algorithms. Whilethe focus of this book is to provide readers insight into the miningalgorithms from evolving regions, the authors also discuss datamanagement for spatiotemporal trajectories, which has becomeincreasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discoverytechniques to computer science graduatestudents who are interested in spatiotemporal data mining, as well asresearchers/professionals, who deal with advanced spatiotemporal dataanalysis in their fields. These fields include GIS-experts, meteorologists,epidemiologists, neurologists, and solar physicists. 120 pp. Englisch.

Title
Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Author
Rafal. A Angryk
Publisher
Springer International Publishing Okt 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319998722
ISBN 13
9783319998725
Item weight
195 grams
Dimensions
235x155x7 mm
Series
Book 278 of 322: SpringerBriefs in Computer Science

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 25.35US$ 25.35
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BuchWeltWeit Ludwig Meier e.K.

Germany