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Mining high-utility itemsets with irregular occurrence
2017 9th International Conference on Knowledge and Smart Technology (KST), 2017High-utility itemsets mining (HUIM) is proposed to discover itemsets giving high utilities (such as high profit, low cost/risk and other factors). This can help to extract hidden-knowledge from buying behavior of customers. However, HUIM may not sufficiently give hidden-knowledge and observe occurrence behavior of itemsets in some applications, since ...
Supachai Laoviboon, Komate Amphawan
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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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Mining local and peak high utility itemsets
Information Sciences, 2019Abstract A major limitation of traditional High Utility Itemset Mining (HUIM) algorithms is that they do not consider that the utility of itemsets may vary over time. Thus, traditional HUIM algorithms cannot find itemsets that do not yield a high utility when considering the whole database, but still have a high utility during specific time periods ...
Philippe Fournier-Viger +4 more
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Pruning strategies for mining high utility itemsets
Expert Systems with Applications, 2015Presents an efficient high utility mining method.Employs novel pruning strategies to limit the search space of utility mining.Compares the proposed method against a state-of-the-art utility mining method.Experimentally evaluates the system on eight real and synthetic benchmark datasets.Empirical results are found to be quite promising, especially for ...
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Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining
2023Priscile Audrey Fongue Assondji +2 more
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PHM: Mining Periodic High-Utility Itemsets
2016High-utility itemset mining is the task of discovering high-utility itemsets, i.e. sets of items that yield a high profit in a customer transaction database. High-utility itemsets are useful, as they provide information about profitable sets of items bought by customers to retail store managers, which can then use this information to take strategic ...
Philippe Fournier-Viger +3 more
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High-Utility Itemset Mining in Big Dataset
2020High-utility mining (HUIM) is an extended concept from frequent itemset mining (FIM). It emphasizes the more important factors, such as profits or the weight of an itemset in commercial applications. In this paper, we assume a dataset is too big to be loaded in the memory, then propose a MapReduce framework to handle this kind of situation, and try to ...
Jimmy Ming-Tai Wu +3 more
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HMiner: Efficiently mining high utility itemsets
Expert Systems with Applications, 2017Abstract High utility itemset mining problem uses the notion of utilities to discover interesting and actionable patterns. Several data structures and heuristic methods have been proposed in the literature to efficiently mine high utility itemsets.
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Mining High Utility Itemsets in Big Data
2015In recent years, extensive studies have been conducted on high utility itemsets (HUI) mining with wide applications. However, most of them assume that data are stored in centralized databases with a single machine performing the mining tasks. Consequently, existing algorithms cannot be applied to the big data environments, where data are often ...
Ying Chun Lin +2 more
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