An Improved Association Rules Algorithm Based on Frequent Item Sets
Yaqiong Jiang, Jun Wang · Procedia Engineering · 2011
In this paper, based on the concept of Apriori algorithm for frequent itemsets, adding the element vector, sub-rule and parent-rule, an improved algorithm about association rules mining is proposed. This method overcomes the lack of traditional association rule mining method. It mines the rules while generating the frequent item sets, so the mining efficiency has been improved well.