The research and application of a spatial transverse mining algorithm

this paper proposes an algorithm of spatial association rules mining based on orientation frequent, which is suitable for mining transverse spatial association. The algorithm uses the method of orientation frequent item set to generate frequent candidate items by down-up strategy, which is able to efficiently reduce repeating computing and redundant operation to improve the efficiency of algorithm. The algorithm is applied to Grid Visual Manage System based on GIS to analyze Grid Malfunction, which is able to efficiently improve the efficiency of system. © 2010 IEEE.