Mining and Filtering Multi-level Spatial Association Rules with ARES [chapter]

Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba
2005 Lecture Notes in Computer Science  
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
more » ... . 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.
doi:10.1007/11425274_36 fatcat:5xlgkitshfb6xgfl5yejvdfrue