Results 1 to 10 of about 239 (98)
Multi-level high utility-itemset hiding. [PDF]
PLoS OnePrivacy is as a critical issue in the age of data. Organizations and corporations who publicly share their data always have a major concern that their sensitive information may be leaked or extracted by rivals or attackers using data miners. High-utility itemset mining (HUIM) is an extension to frequent itemset mining (FIM) which deals with business ...
Nguyen LTT, Duong H, Mai A, Vo B.
europepmc +4 more sources
Mining Locally Trending High Utility Itemsets [PDF]
Advances in Knowledge Discovery and Data Mining, 2020 High utility itemset mining consists of identifying all the sets of items that appear together and yield a high profit in a customer transaction database. Recently, this problem was extended to discover trending high utility itemsets (itemsets that yield an increasing or decreasing profit over time).
Fournier-Viger P +3 more
europepmc +4 more sources
Towards Target High-Utility Itemsets
CoRR, 2022 Preprint.
Jinbao Miao +4 more
openaire +2 more sources
Ignoring Internal Utilities in High-Utility Itemset Mining
Symmetry, 2022 High-utility itemset mining discovers a set of items that are sold together and have utility values higher than a given minimum utility threshold. The utilities of these itemsets are calculated by considering their internal and external utility values, which correspond, respectively, to the quantity sold of each item in each transaction and profit ...
openaire +2 more sources
MINING OF HIGH-UTILITY ITEMSETS WITH NEGATIVE UTILITY
JOURNAL OF TECHNOLOGY & INNOVATION, 2020 The goal of the high-utility itemset mining task is to discover combinations of items that yield high profits from transactional databases. HUIM is a useful tool for retail stores to analyze customer behaviors. However, in the real world, items are found with both positive and negative utility values.
Tung N.T +3 more
openaire +1 more source
TargetUM: Targeted High-Utility Itemset Querying
CoRR, 2021 Preprint.
Jinbao Miao +4 more
openaire +2 more sources
Approximate Parallel High Utility Itemset Mining [PDF]
Big Data Research, 2016 High utility itemset mining discovers itemsets whose utility is above a given threshold, where the utility measures the importance of an itemset. It overcomes the limitation of frequent pattern mining, which uses frequency as its quality measure. To speed up the performance for mining high utility itemsets, many algorithms have been proposed which ...
Yan Chen 0021, Aijun An
openaire +2 more sources
High Utility Itemset Mining Using Transaction Utility of Itemsets
KIPS Transactions on Software and Data Engineering, 2015 Serin Lee, Jong Soo Park
openaire +2 more sources
Rule-ranking method based on item utility in adaptive rule model. [PDF]
PeerJ Comput Sci, 2022 Hikmawati E, Maulidevi NU, Surendro K.
europepmc +1 more source
Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
PLoS One, 2023 Shi M, Gong Y, Xu T, Zhao L.
europepmc +1 more source