An Association Rule Algorithm Generated by Minimal Head-Item Set Based on Set-Enumeration Tree

A lot of association rules may be generated in the process of association rules mining, and much time may be wasted when a user analyzes the association rules. To solve this problem, an improved algorithm which based on the set-enumeration tree for mining the association rules is introduced; and the algorithm reduces the number of association rules remarkably and generates a subset of association rules without any information loss. The number of association rules is decreased very much, so the space consumption in rules´ storage will be declined greatly, and the efficiency of analysis for association rules will be enhanced.