Mining high utility itemsets using prefix trees and utility vectors

JF Qu, P Fournier-Viger, M Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
High utility itemsets can reveal combinations of items that have a high profit, expense, or
importance. Mining high utility itemsets in a database with items generally results in a huge …

Efficient algorithms for high utility itemset mining without candidate generation

JF Qu, M Liu, P Fournier-Viger - High-utility pattern mining: theory …, 2019 - Springer
High utility itemsets are sets of items having a high utility or profit in a database. Efficiently
discovering high utility itemsets plays a crucial role in real-life applications such as market …

HMiner: Efficiently mining high utility itemsets

S Krishnamoorthy - Expert Systems with Applications, 2017 - Elsevier
High utility itemset mining problem uses the notion of utilities to discover interesting and
actionable patterns. Several data structures and heuristic methods have been proposed in …

Mining high utility itemsets without candidate generation

M Liu, J Qu - Proceedings of the 21st ACM international conference …, 2012 - dl.acm.org
High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …

A high utility itemset mining algorithm based on subsume index

W Song, Z Zhang, J Li - Knowledge and Information Systems, 2016 - Springer
High utility itemset mining addresses the limitations of frequent itemset mining by introducing
measures of interestingness that reflect the significance of an itemset beyond its frequency …

Efficient mining of high utility itemsets with multiple minimum utility thresholds

S Krishnamoorthy - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Mining high utility itemsets is considered to be one of the important and challenging
problems in the data mining literature. The problem offers greater flexibility to a decision …

New approaches for mining high utility itemsets with multiple utility thresholds

B Huynh, NT Tung, TDD Nguyen, C Trinh, V Snasel… - Applied …, 2024 - Springer
Recently, two research directions have been noticed in data mining: frequent itemset mining
(FIM) and high utility itemset mining (HUIM). The FIM process will output itemsets whose …

UP-Growth: an efficient algorithm for high utility itemset mining

VS Tseng, CW Wu, BE Shie, PS Yu - Proceedings of the 16th ACM …, 2010 - dl.acm.org
Mining high utility itemsets from a transactional database refers to the discovery of itemsets
with high utility like profits. Although a number of relevant approaches have been proposed …

Efficient high utility itemset mining using buffered utility-lists

QH Duong, P Fournier-Viger, H Ramampiaro… - Applied …, 2018 - Springer
Discovering high utility itemsets in transaction databases is a key task for studying the
behavior of customers. It consists of finding groups of items bought together that yield a high …

mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets

AY Peng, YS Koh, P Riddle - Advances in Knowledge Discovery and Data …, 2017 - Springer
High utility itemset mining is the problem of finding sets of items whose utilities are higher
than or equal to a specific threshold. We propose a novel technique called mHUIMiner …