Reduced Time Approach for Interactive Postmining of Association Rules Using Ontologies
Association rule mining is the oldest and a crucial task in data mining. In association rule mining, the latest trend is to reduce the number of association rules to a great extent. Algorithms tend to give a huge number of association rules making it intractable to the user to make important business decisions. Earlier various algorithms were used to reduce the number of item-sets and various methods were used to reduce the number of association rules. But as they were mainly based on statistical information and since association rule mining was carried out in a single step, they did not assure that extracted rules are interesting to the user.