Regional Association Rule Mining
نویسندگان
چکیده
This project [4] centers on regional association rule mining and scoping in spatial datasets. We introduces a methodology for mining spatial association rules and proposes new algorithms to determine the scope of a spatial association rule. We develop a reward-based region discovery framework that employs clustering to find interesting regions. The framework is applied to solve two distinct region discovery problems: identifying interesting regions for regional association rule discovery, and determining the scope of a given association rule. Moreover, our association rule mining methodology is supervised, centering on finding rules with respect to an underlying class structure, and the class structure itself is also used for rule pruning and for the discretization of numerical attributes.
منابع مشابه
An Integrated Approach for Regional Association Rule Mining and Scoping
A special challenge for spatial data mining is that information is not spread uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamental importance. However, traditional data mining techniques are ill-prepared for discovering regional knowledge. This paper introduces a methodology for mining spatial association rules and proposes novel algorithms to dete...
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