Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure

G Li, T Shang, Y Zhang - Applied Intelligence, 2023 - Springer
High utility itemset mining can mine all itemsets that meet the minimum utility threshold set
by the decision maker, thus becomes a popular and prominent data-mining technique. High …

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 …

High average-utility itemsets mining: a survey

K Singh, R Kumar, B Biswas - Applied Intelligence, 2022 - Springer
HUIM (High utility itemsets mining) is a sub-division of data mining dealing with the task to
obtain promising patterns in the quantitative datasets. A variant of HUIM is to discover the …

An efficient approach for mining high-utility itemsets from multiple abstraction levels

TDD Nguyen, LTT Nguyen, A Kozierkiewicz… - … and Database Systems …, 2021 - Springer
The goal of the high-utility itemset mining task is to discover combinations of items which that
yield high profits from transactional databases. HUIM is a useful tool for retail stores to …

IHUMN: an improved high-utility itemsets mining algorithm with negative utility items

H Wang, J Wei, X Wang, X Li, H Jiang - Proceedings of the 2022 5th …, 2022 - dl.acm.org
High-utility itemset mining is to mine high profit itemsets from transaction databases. But if
there are some itemsets with negative utility values in the transaction database, the high …