Improving the Performance of Association Rule Mining Algorithms by Filtering Insignificant Transactions Dynamically

摘要

Present study proposes an algorithm for finding frequent itemsets. Algorithm uses a novel approach to the insignificant transactions dynamically. It divides the tuples of the database to be mined intelligently in clusters. During a particular pass only th