Mining Frequent Item Sets for Association Rule Mining in Relational Databases: An Implementation of SETM Algorithm Using Super Market Dataset

摘要

Association rule mining is one of the recent data mining research.Mining frequent itemsets in relational databases using relational queries give great attention to researchers nowadays. This paper implements set oriented algorithm for mining frequent itemsets in relational databases. In this paper the sort and merge scan algorithm SETM is implemented for super market data set.This paper finds out the frequent itemset and its execution time and the results are compared with the traditional Apriori algorithm.