This paper presents a spatial association discovery system, named SPADA, which has been developed according to the theoretical framework of inductive databases. Our approach considers inductive databases as deductive databases with an integrated inductive component and relies on techniques borrowed from the field of Inductive Logic Programming (ILP). In SPADA, an ILP module supports the processing of spatial association mining queries and accesses spatial databases via a middle-layer module for feature extraction. The resulting architecture is illustrated by commenting spatial association mining sessions in detail and showing that ILP is a viable and promising solution to the development of inductive databases.
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