A Survey on Discovering High Utility Itemset Mining from Transactional Database

Abstract

Data Mining is the process of evaluating data from different outlooks and summarizing it into useful information. It can be defined as the process that extracts information contained in very large database. Traditional Data mining methods have been focused on to finding a correlation between items which are frequently appearing in the database. And relative importance of each item is not consider in frequent pattern mining. High utility mining is an area research where utility based mining can be done. Mining high utility itemset from a transactional database refers to the discovery of itemset with high utility in a terms like weight, unit profit or value. In this paper we present literature survey of currently used algorithms for high utility itemset mining.

Keywords: High utility,  Transactional Database, HUI_Miner, FHM