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ISMIS
2005
Springer

Mining and Filtering Multi-level Spatial Association Rules with ARES

11 years 11 months ago
Mining and Filtering Multi-level Spatial Association Rules with ARES
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the use of a multi-relational approach to mine spatial association rules. It supports spatial database coupling and discovery of multi-level spatial association rules as a means for spatial data exploration. We also present some criteria to bias the search and to filter the discovered rules according to user’s expectations. Finally, we show the applicability of our proposal to two different real world domains, namely, document image processing and geo-referenced analysis of census data.
Annalisa Appice, Margherita Berardi, Michelangelo
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ISMIS
Authors Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba
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