International Journal of Computer Engineering & Applications
Association rule mining has widely been used to extract trends or patterns that satisfy given support and confidence. The trends are then transformed into business intelligence for expert decision making. However, association rule mining often results in huge number of rules. Users might feel it difficult to identify those rules that are of interest to them. Therefore post mining of association rules is essential to get rid of insignificant rules besides summarizing and visualizing the discovered rules.