A Survey On Discovering High Utility Itemsets 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 dat abase. 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.