Comparison of association rules mining methods in data mining
HE Xiao-dong · Jisuanji gongcheng yu sheji · 2005
By analyzing the research actuality of in data mining, a new association rules value measuring methods andthe furtherresearch direction of association rules in the future is provided. Literature query and comparison analysis methods are applied in bearing typical association rules mining methods for integrate research based on kernel Apriori arithmetic. ①Even if apriori algorithm is optimized, some connatural bug cannotbe overcome, and the furtherresearch is also needed in the future. ②The future research direction to enhance algorithm efficiency of dealing with the maximum data and non-structure data and combine with OLAP as well as the inspection of growing results.