Research and Application on Hybrid-weighted Association Rule Algorithm

Abstract

In order to improve the efficiency of locating the root alarm, a new weighted association rule mining algorithm was proposed based on the attributes and time characteristics of the alarm information. The extension measure was used to build the alarm information model, then the similarity between the alarm matter-element cases were calculated in the method of the correlation function. Furthermore, the hybrid-weighted method of horizontal and vertical weighted was introduced to mine association rules on the alarm cases. The simulation experiment was carried out by the synthetic data set. In comparison with the horizontal weighted algorithm, the hybrid weighted algorithm can effectively reduced the generation of redundant rules.