APPARATUS AND METHOD FOR MINING OF MULTI-DIMENSIONAL ASSOCIATION RULES OVER INTERVAL DATA USING CLUSTERING AND CHARACTERIZATION

摘要

PURPOSE: An apparatus and a method for mining of multi-dimensional association rules over interval data using clustering and characterization are provided to establish a section for drawing association rules having the highest reliability. CONSTITUTION: A sectioning unit(110) is sectioning a first attributes in the association rules. A clustering unit(120) hierarchically clusters the analysis object data based on the second attribute of the association rules. An association rule generating unit(130) uses the reliability of the association rules for each cluster, and processes an analysis of characteristic. In case the reliability of the association rules diminishes to the specific clustering, the association rule generating unit includes the association rules of the cluster in the result group of the association rules.