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Querying and Mining Spatiotemporal Association Rules

This paper presents an approach for mining spatiotemporal association rules. The proposed method is based on the computation of neighborhood relationships between geographic objects during a time interval. This kind of information is extracted from spatiotemporal database by the means of special mining queries enriched by time management parameters. The resulting spatiotemporal predicates are then processed by classical data mining tools in order to generate spatiotemporal association rules.