Combining Spatial and Non-spatial Data for Knowledge Discovery: Combined Mining of Spatial and Non-spatial Data - Couverture souple

Dey, Shubhamoy

 
9783845418834: Combining Spatial and Non-spatial Data for Knowledge Discovery: Combined Mining of Spatial and Non-spatial Data
Couverture souple
ISBN 10 : 3845418834 ISBN 13 : 9783845418834
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

This book is the result of innovative research in combining data from spatial and non-spatial sources for knowledge discovery. Though there has been an explosive growth in data collection and storage capability during the last two decades and many of the data repositories contain location data in the form of spatial references, the wealth of spatial information present in the data is seldom utilised. This unique work establishes that mining of GIS (or other forms of spatial) data in conjunction with the non-spatial data linked together by the location information can successfully detect broad spatial trends over large spatial extents, as well as localised spatial associations. The applicability of the novel framework and algorithmic solutions developed has been demonstrated using real sales data from a supermarket chain. The contents within these covers will be found useful both by data mining students and researchers, and practitioners who would like to use the solution developed for gaining business benefit.

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Présentation de l'éditeur

This book is the result of innovative research in combining data from spatial and non-spatial sources for knowledge discovery. Though there has been an explosive growth in data collection and storage capability during the last two decades and many of the data repositories contain location data in the form of spatial references, the wealth of spatial information present in the data is seldom utilised. This unique work establishes that mining of GIS (or other forms of spatial) data in conjunction with the non-spatial data linked together by the location information can successfully detect broad spatial trends over large spatial extents, as well as localised spatial associations. The applicability of the novel framework and algorithmic solutions developed has been demonstrated using real sales data from a supermarket chain. The contents within these covers will be found useful both by data mining students and researchers, and practitioners who would like to use the solution developed for gaining business benefit.

Biographie de l'auteur

Dr. Shubhamoy Dey is Associate Professor of Information Systems at Indian Institute of Management. He completed his Ph.D from School of Computing, University of Leeds, UK, and Master of Technology from Indian Institute of Technology (IIT-Kgp). He specializes in Data Mining and has 25 years of consulting and teaching experience in UK, USA and India.

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
2011
Langue
anglais
ISBN 10 
3845418834
ISBN 13 
9783845418834
Reliure
Broché
Nombre de pages
296
Coordonnées du fabricant
non disponible
Personne responsable
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