Finding high utility itemset from transaction
databases refers to finding itemset that are profitable
and useful. Frequent Itemset mining, which identifies
often occurring itemsets, is expanded upon in Itemset
Utility Mining. Recognising itemsets with utility values
over a certain ven utility threshold is the aim of high
utility itemset mining. The user-specified minimum
support threshold value must be met for an itemset to be
considered a high utility itemset; otherwise, it is treated
as a low utility itemset. In this article, we give a
literature review of the current state of research, as well
as a look at different algorithms and their potential
drawbacks for high utility dataset mining
Keywords :
Mining of association rules, frequent itemsets, and high utility itemsets.