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Spatio-Temporal Data Mining: Concepts and Challenges: Issues, Task and Process - Couverture souple

Rashid, A.N.M. Bazlur

 
9783659263828: Spatio-Temporal Data Mining: Concepts and Challenges: Issues, Task and Process
Couverture souple
ISBN 10 : 3659263826 ISBN 13 : 9783659263828
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The spatio-temporal data mining has received considerable attention during the past few years, due to the emergence of numerous applications (e.g., flight control systems, weather forecast, mobile computing etc.) that demand efficient management of moving objects. These applications record objects' geographical locations (sometimes also shapes) at various timestamps and support queries that explore their historical and future (predictive) behaviors. The spatio-temporal data mining significantly extends the traditional spatial data mining which deals with only stationary data and hence is inapplicable to moving objects, whose dynamic behavior requires re-investigation of numerous topics including data modeling, indexes and the related query algorithms. In many application areas, huge amounts of data are generated, explicitly or implicitly containing spatial or spatiatemporal information. However, the ability to analyze these data remains inadequate & the need for adapted data mining tools becomes a major challenge. The detail analysis of spatio-temporal data mining and related topics should be useful to the professionals and researchers implementing & improving this type of mining.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The spatio-temporal data mining has received considerable attention during the past few years, due to the emergence of numerous applications (e.g., flight control systems, weather forecast, mobile computing etc.) that demand efficient management of moving objects. These applications record objects' geographical locations (sometimes also shapes) at various timestamps and support queries that explore their historical and future (predictive) behaviors. The spatio-temporal data mining significantly extends the traditional spatial data mining which deals with only stationary data and hence is inapplicable to moving objects, whose dynamic behavior requires re-investigation of numerous topics including data modeling, indexes and the related query algorithms. In many application areas, huge amounts of data are generated, explicitly or implicitly containing spatial or spatiatemporal information. However, the ability to analyze these data remains inadequate & the need for adapted data mining tools becomes a major challenge. The detail analysis of spatio-temporal data mining and related topics should be useful to the professionals and researchers implementing & improving this type of mining.

Biographie de l'auteur

A.N.M. Bazlur Rashid, B.Sc. Engg: Computer Science & Engineering at RUET & M.Sc. Engg: ICT at BUET, Bangladesh. OCP DBA. Assistant Professor (Computer) at Bangladesh University of Textiles, Dhaka, Bangladesh. Field of study: query processing, query optimization, materialized view, database and information system, data warehousing and data mining.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659263826
ISBN 13 
9783659263828
Reliure
Broché
Nombre de pages
144
Coordonnées du fabricant
non disponible
Personne responsable
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