Proper

Abstract

Pattern mining is an important subfield of data mining. It consists of using / developing data mining algorithms to discover interesting, unexpected and useful patterns in databases. Pattern mining algorithms can be applied on various types of data such as transaction databases, sequence databases, streams, strings, spatial data, graphs, etc. Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset. Association Rule mining is one of the most popular data mining techniques which can be defined as extracting the interesting correlation and relation among large volume of transactions. E-commerce applications generate vast quantity of operational and behavioral information. Applying association rule mining in e-commerce application will unearth the hidden information from these information. During this paper a replacement methodology has been planned for frequent pattern mining that advantages in higher business.