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Mining Local High Utility Itemsets
2018High Utility Itemset Mining (HUIM) is the task of analyzing customer transactions to find the sets of items that yield a high utility (e.g. profit). A major limitation of traditional HUIM algorithms is that they do not consider that the utility of itemsets vary over time.
Philippe Fournier-Viger +4 more
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Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining
2023Priscile Audrey Fongue Assondji +2 more
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Mining High Utility Sequences with a Novel Utility Function
2021 13th International Conference on Knowledge and Systems Engineering (KSE), 2021Hanh-Thong Huynh +4 more
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UGMINE: utility-based graph mining
Applied Intelligence, 2022Md. Tanvir Alam +4 more
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Efficient list based mining of high average utility patterns with maximum average pruning strategies
Information Sciences, 2021Hamido Fujita, Bay Vo, Unil Yun
exaly
On-Shelf Utility Mining of Sequence Data
ACM Transactions on Knowledge Discovery From Data, 2022Chunkai Zhang +2 more
exaly
Fuzzy Utility Mining on Temporal Data
2022 4th International Conference on Data Intelligence and Security (ICDIS), 2022Zhenqiang Ye +4 more
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