Analysis of Spatial Association Rule Mining

Ranu Sahu, Raghvendra Kumar


The association rule mining technique emerged with the objective to find novel, useful, and previously unknown associations from transactional databases, and a large amount of association rule mining algorithms have been proposed in the last decade. Their main drawback, which is a well known problem, is the generation of large amounts of frequent patterns and association rules. In geographic databases the problem of mining spatial association rules increases significantly. Besides the large amount of generated patterns and rules, many patterns are well known geographic domain associations, normally explicitly represented in geographic database schemas. The majority of existing algorithms do not warrant the elimination of all well known geographic dependences

Keywords: Data Mining; Distributed Data Mining; Association Rule Mining; Spatial Data Mining; Spatial Association Rules; Weka Tool.

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Copyright (c) 2016 Ranu Sahu, Raghvendra Kumar

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