An Adequate Approach for Actionable Pattern Using Combined and Composite Association Rule Mining
Data mining promises to discover valid and potentially useful patterns in data. Association rule mining often produces large numbers of association rules and sometimes it is difficult for users to understand such rules, therefore it cannot satisfy the needs of real world completely. Though numerous of techniques have been proposed for data mining with the aspiration to discover knowledge. Among those techniques, an association rule learning algorithm named Intensified Priority based Frequent Pattern Mining (IP-FPM) is most famous.