Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories - Brossura

Aydin, Berkay; Angryk, Rafal. A

 
9783319998725: Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Brossura
ISBN 10: 3319998722 ISBN 13: 9783319998725
Casa editrice: Springer, 2018

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
3319998722
ISBN 13 
9783319998725
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
120
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9783319998749: Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Edizione in evidenza

ISBN 10:  3319998749 ISBN 13:  9783319998749
Casa editrice: Springer, 2018
Brossura