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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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Mining summarization of high utility itemsets
Knowledge-Based Systems, 2015Mining interesting itemsets from transaction databases has attracted a lot of research interests for decades. In recent years, high utility itemset (HUI) has emerged as a hot topic in this field. In real applications, the bottleneck of HUI mining is not at the efficiency but at the interpretability, due to the huge number of itemsets generated by the ...
Xiong Zhang, Zhi-Hong Deng 0001
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Topological Frequency Utility Mining Model
2012Most of the traditional association rules mining only considers frequency of itemsets (web pages set denoted as wps-set in a given web site), which may bring less amount of profit. The main focus of Utility mining is to consider only itemsets (wps-set) with high utilities, but number of rich enough customers is restricted.
R. B. Geeta +2 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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Efficient list based mining of high average utility patterns with maximum average pruning strategies
Information Sciences, 2021Heonho Kim, Unil Yun, Yoonji Baek
exaly
UGMINE: utility-based graph mining
Applied Intelligence, 2022Md. Tanvir Alam +4 more
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Stable High Utility Itemset Mining
The 23rd International Conference on Information Integration and Web Intelligence, 2021Acquah Hackman +3 more
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On-Shelf Utility Mining of Sequence Data
ACM Transactions on Knowledge Discovery From Data, 2022Chunkai Zhang, Zilin Du, Wensheng Gan
exaly