Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories - Couverture souple

Aydin, Berkay; Angryk, Rafal. A

9783319998725: Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

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ISBN 10 : 3319998722 ISBN 13 : 9783319998725

Editeur : Springer, 2018

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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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�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319998722
ISBN 13: 9783319998725
Reliure: Broch�
Nombre de pages: 120
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Berkay Aydin|Rafal. A Angryk

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319998722 ISBN 13 : 9783319998725

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This SpringerBrief provides an overview within data mining of spatiotemporal frequent&nbsppattern mining from evolving regions to the perspective of relationship&nbspmodeling among the spatiotemporal objects, frequent pattern mining&nbspalgorithms, an. N� de r�f. du vendeur 236701643

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (SpringerBriefs in Computer Science)

Aydin, Berkay; Angryk, Rafal. A

Edit� par Springer, 2018

ISBN 10 : 3319998722 ISBN 13 : 9783319998725

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Rafal. A Angryk

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3319998722 ISBN 13 : 9783319998725

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783319998725

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Rafal. A Angryk

Edit� par Springer International Publishing Okt 2018, 2018

ISBN 10 : 3319998722 ISBN 13 : 9783319998725

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Taschenbuch. Etat : Neu. 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. N� de r�f. du vendeur 9783319998725

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Rafal. A Angryk

Edit� par Springer International Publishing, Springer International Publishing Okt 2018, 2018

ISBN 10 : 3319998722 ISBN 13 : 9783319998725

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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch. N� de r�f. du vendeur 9783319998725

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