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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'sdoi:10.1007/11425274_36 fatcat:5xlgkitshfb6xgfl5yejvdfrue