UBP-Miner: An efficient bit based high utility itemset mining algorithm
P Wu, X Niu, P Fournier-Viger, C Huang… - Knowledge-Based …, 2022 - Elsevier
HUIM (High utility itemset mining) is a key problem in data mining. The goal is to find
itemsets having a high importance or profit in a database, to identify useful knowledge that …
itemsets having a high importance or profit in a database, to identify useful knowledge that …
Efficient evolutionary computation model of closed high-utility itemset mining
JCW Lin, Y Djenouri, G Srivastava, P Fourier-Viger - Applied Intelligence, 2022 - Springer
HUIM has been an important issue in recent years, particularly in basket-market analysis,
since it identifies useful information or goods for decision-making. Numerous research …
since it identifies useful information or goods for decision-making. Numerous research …
Efficient algorithms for mining closed and maximal high utility itemsets
Closed high utility itemsets (CHUIs) and maximal high utility itemsets (MaxHUIs) are two
important concise representations of HUIs. Discovering these itemsets is important because …
important concise representations of HUIs. Discovering these itemsets is important because …
ONP-Miner: One-off negative sequential pattern mining
Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike
positive SPM, negative SPM can discover events that should have occurred but have not …
positive SPM, negative SPM can discover events that should have occurred but have not …
Extended high-utility pattern mining: an answer set programming-based framework and applications
F Cauteruccio, G Terracina - Theory and Practice of Logic …, 2024 - cambridge.org
Detecting sets of relevant patterns from a given dataset is an important challenge in data
mining. The relevance of a pattern, also called utility in the literature, is a subjective measure …
mining. The relevance of a pattern, also called utility in the literature, is a subjective measure …
Targeted high-utility itemset querying
J Miao, S Wan, W Gan, J Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traditional high-utility itemset mining (HUIM) aims to determine all high-utility itemsets
(HUIs) that satisfy the minimum utility threshold in transaction databases. However, in most …
(HUIs) that satisfy the minimum utility threshold in transaction databases. However, in most …
Efficient mining of concise and informative representations of frequent high utility itemsets
The discovery of frequent closed high utility itemsets (FCHUIs) and frequent generators of
high utility itemsets (FGHUIs) is significant because they serve as important and concise …
high utility itemsets (FGHUIs) is significant because they serve as important and concise …
An efficient approach for mining maximized erasable utility patterns
C Lee, Y Baek, T Ryu, H Kim, H Kim, JCW Lin, B Vo… - Information …, 2022 - Elsevier
As a method of extracting important information in the real world, the field of pattern mining
has been actively studied. In particular, in industrial fields such as factories, it is also …
has been actively studied. In particular, in industrial fields such as factories, it is also …
Mining periodic high-utility itemsets with both positive and negative utilities
Mining high-utility patterns in databases containing items with both positive and negative
profits is useful in market basket databases, since negative profits are common in the real …
profits is useful in market basket databases, since negative profits are common in the real …
An efficient method for mining multi-level high utility itemsets
NT Tung, LTT Nguyen, TDD Nguyen, B Vo - Applied Intelligence, 2022 - Springer
High-utility itemset mining (HUIM) is a useful tool for analyzing customer behavior in the field
of data mining. HUIM algorithms can discover the most beneficial itemsets in transaction …
of data mining. HUIM algorithms can discover the most beneficial itemsets in transaction …