Téléchargez le livre : Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2018-10-15

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Description

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.
Pages
106 pages
Collection
SpringerBriefs in Computer Science
Parution
2018-10-15
Marque
Springer
EAN papier
9783319998725
EAN PDF
9783319998732
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
5253 Ko
Prix
52,74 €
EAN EPUB
9783319998732
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
10742 Ko
Prix
52,74 €

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