Support and Confidence Based Algorithms for Hiding Sensitive Association Rules

We propose an algorithm to hiding association rules on data mining. We make a target data table without joining the multiple tables using the hiding association rules. Hiding association rules joined data table and all dimension tables, it reduces support and confidence in multi relational data mining. Association analysis is a powerful and popular tool for discovering relationships hidden in large data sets. We can modify transaction data item sets.