An Improved and Efficient Method to Discover the Frequent Patterns From Targeted Patterns in Transactional Dataset Using Tpiitr-FPMM

Abstract

Abstract:In Recent years, Data mining is an essential technique to discover useful knowledge from transactional dataset. Association analysis algorithm is one of the vital data mining techniques. It normally catches relationships among items in transactional dataset. Generally they are used to develop the strategy of the future business. The main step of association analysis is to catch the frequent patterns in large transactional dataset. Plenty of methods are available in the literature to catch the frequent patterns. Most of the techniques gave in the literature catch all frequent itemsets for a specified minimum support threshold value. But in some instance, it is desired to examine the existence of some of the few targeted patterns (for example special offer given for group of items to promote the retail sales) in large transactional dataset to develop the strategy of the future business.