Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …

Utility itemset mining has manifested as a significant method for mining the data, which finds
the itemsets grounded on the utility factors. The utility is defined in terms of quantity and …

High utility pattern mining is an analytical approach used to identify sets of items that exceed
a specific threshold of utility values. Unlike traditional frequency-based analysis, this method …

Since the last decade, Market Basket Analysis has been propelled by augmentation of
revenue information. Termed as high utility itemset mining (HUIM), this task considers the …

Abstract Utility Itemset Mining (UIM) is a fundamental technique to find out various itemsets
with interestingness measures in addition to their quantity. It helps in finding valuable items …

High utility itemset mining (HUI) targets the mining of high utility itemsets from a database.
The utility here is defined as the amalgamation of the magnitude of the item and its …

Distributed programming paradigms such as MapReduce and Spark have alleviated
sequential bottleneck while mining of massive transaction databases. Of significant …

Exponential growth has been measured in the size of data during the last two decades. The
mining of utility itemsets from a large dataset is a challenging issue because of the diverse …

abstract Pattern mining is a fundamental technique of data mining to discover interesting
correlations in the data set. There are several variations of pattern mining, such as frequent …