A hybrid framework for mining high-utility itemsets in a sparse transaction database
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DOI: 10.1007/s10489-017-0932-1
Abstract: High-utility itemset mining aims to find the set of items with utility no less than a user-defined threshold in a transaction database. High-utility itemset mining is an emerging research area in the field of data… read more here.
Keywords: mining; utility itemsets; transaction; utility ... See more keywords
High average-utility itemsets mining: a survey
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DOI: 10.1007/s10489-021-02611-z
Abstract: HUIM (High utility itemsets mining) is a sub-division of data mining dealing with the task to obtain promising patterns in the quantitative datasets. A variant of HUIM is to discover the HAUIM (High average-utility itemsets… read more here.
Keywords: average utility; utility itemsets; high average; itemsets mining ... See more keywords
An efficient method for mining multi-level high utility Itemsets
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DOI: 10.1007/s10489-021-02681-z
Abstract: 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 databases, namely the high-utility itemsets (HUIs), in… read more here.
Keywords: mining; utility itemsets; multi level; level ... See more keywords
Mining Correlated High Utility Itemsets in One Phase
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DOI: 10.1109/access.2020.2994059
Abstract: High-utility itemset mining (HUIM) in transaction databases has been extensively studied to discover interesting itemsets from users’ purchase behaviors. With this, business managers can adjust their sale strategies appropriately to increase profit. HUIM approaches usually… read more here.
Keywords: correlated high; mining correlated; utility itemsets; high utility ... See more keywords
A Robust Technique for Closed Frequent and High Utility Itemsets Mining: Closed-FHUIM
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DOI: 10.1109/access.2024.3520619
Abstract: Frequent itemset mining (FIM) and high utility itemset mining (HUIM) are popular data mining techniques used in various real-world applications such as retail-market, bio-medicine, and click-stream analysis. However, these techniques have certain limitations. Support, defined… read more here.
Keywords: utility; closed fhuim; itemset; utility itemsets ... See more keywords
Algorithms Based on Dynamic Minimum Probabilistic Support and Utility Thresholds for Mining Top-K High-Utility Itemsets From Uncertain Databases
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DOI: 10.1109/access.2025.3612006
Abstract: Mining high-utility itemsets (HUIs) from large and uncertain databases is challenging due to the vast data volume and extensive search space. Determining the minimum utility and probabilistic support for all items is also a time-consuming… read more here.
Keywords: utility; probabilistic support; utility itemsets; mining top ... See more keywords
PHUIMUS: A Potential High Utility Itemsets Mining Algorithm Based on Stream Data with Uncertainty
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/8576829
Abstract: High utility itemsets (HUIs) mining has been a hot topic recently, which can be used to mine the profitable itemsets by considering both the quantity and profit factors. Up to now, researches on HUIs mining… read more here.
Keywords: utility itemsets; stream; utility; uncertain data ... See more keywords