FHM: Faster high-utility itemset mining using length upper-bound reduction

P Fournier-Viger, JCW Lin, QH Duong… - … Conference on Industrial …, 2016 - Springer
High-utility itemset (HUI) mining is a popular data mining task, consisting of enumerating all
groups of items that yield a high profit in a customer transaction database. However, an …

More efficient algorithms for mining high-utility itemsets with multiple minimum utility thresholds

W Gan, JCW Lin, P Fournier-Viger, HC Chao - Database and Expert …, 2016 - Springer
Mining high-utility itemsets (HUIs) is a popular data mining task, which consists of
discovering sets of items that yield a high profit in a transaction database. Although HUI …

An efficient algorithm to mine high average-utility itemsets

JCW Lin, T Li, P Fournier-Viger, TP Hong… - Advanced Engineering …, 2016 - Elsevier
With the ever increasing number of applications of data mining, high-utility itemset mining
(HUIM) has become a critical issue in recent decades. In traditional HUIM, the utility of an …

High-utility itemset mining with effective pruning strategies

JMT Wu, JCW Lin, A Tamrakar - ACM Transactions on Knowledge …, 2019 - dl.acm.org
High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …

A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure

KK Sethi, D Ramesh - The journal of supercomputing, 2020 - Springer
High-utility itemset mining is a prominent data-mining technique where the profit or weight of
itemsets plays a crucial role in defining meaningful patterns. High average-utility itemset …

Mining high-utility itemsets with multiple minimum utility thresholds

JCW Lin, W Gan, P Fournier-Viger… - Proceedings of the Eighth …, 2015 - dl.acm.org
High-utility itemset mining (HUIM) is an emerging topic in data mining. It consists of
discovering high-utility itemsets (HUIs), ie groups of items (itemsets) that generate a high …

EHAUPM: Efficient high average-utility pattern mining with tighter upper bounds

JCW Lin, S Ren, P Fournier-Viger, TP Hong - IEEE Access, 2017 - ieeexplore.ieee.org
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal
patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on …

A fast algorithm for mining high average-utility itemsets

JCW Lin, S Ren, P Fournier-Viger, TP Hong, JH Su… - Applied …, 2017 - Springer
Mining high-utility itemsets (HUIs) in transactional databases has become a very popular
research topic in recent years. A popular variation of the problem of HUI mining is to …

TUB-HAUPM: Tighter upper bound for mining high average-utility patterns

JMT Wu, JCW Lin, M Pirouz, P Fournier-Viger - IEEE Access, 2018 - ieeexplore.ieee.org
High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining.
Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed …

FOSHU: faster on-shelf high utility itemset mining--with or without negative unit profit

P Fournier-Viger, S Zida - Proceedings of the 30th annual ACM …, 2015 - dl.acm.org
High utility itemset (HUI) mining is a popular data mining task, which consists of discovering
sets of items generating high profit in a transaction database. Recently, several efficient …