An Improved Apriori Algorithm for Association Rule Mining
Duan Ming-xiu · Journal of Shenyang Normal University · 2008
In this paper,introduce an improved Apriori algorithm for association rule mining.Approach allows data that approximately matches the pattern to contribute toward the overall support of the pattern.This approach is also useful in association rules mining on data that contains missing values.This algorithm made the missing data contributes to the support of possibly matching patterns.At last,demonstrate the effectiveness of the algorithm using sample databases.