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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
Loan T T Nguyen +3 more
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An Evolutionary Algorithm to Mine High-Utility Itemsets [PDF]
Advances in Electrical and Electronic Engineering, 2015 High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to reveal the profitable products by considering both the quantity and profit factors instead of frequent itemset mining (FIM) of association rules (ARs). In this
Jerry Chun-Wei Lin +5 more
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HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth. [PDF]
PLoS ONE, 2021 In recent years, high utility itemsets (HUIs) mining has been an active research topic in data mining. In this study, we propose two efficient pattern-growth based HUI mining algorithms, called High Utility Itemset based on Length and Tail-Node tree ...
Le Wang, Shui Wang
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IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments [PDF]
HeliyonPeriodic high-utility itemset (PHUI) mining can extend beyond the conventional approach of high-utility itemset mining by uncovering recurring customer purchase behaviors common in real-life scenarios (e.g., buying apples and oranges every three days or ...
Huiwu Huang, Shixi Chen, Jiahui Chen
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Incremental high average-utility itemset mining: survey and challenges [PDF]
Scientific ReportsThe High Average Utility Itemset Mining (HAUIM) technique, a variation of High Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most HAUIM algorithms were designed for static databases.
Jing Chen +6 more
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Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules [PDF]
Sensors, 2020 In business, managers may use the association information among products to define promotion and competitive strategies. The mining of high-utility association rules (HARs) from high-utility itemsets enables users to select their own weights for rules ...
Thang Mai +4 more
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A high utility itemsets mining algorithm based on co-evolution [PDF]
Scientific ReportsMetaheuristic high utility itemsets mining algorithms often face challenges such as poor initial population quality, low time efficiency, and itemsets loss due to premature convergence. To address these issues, this study proposes a high utility itemsets
Wenyan Yang +4 more
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Mining Locally Trending High Utility Itemsets [PDF]
Advances in Knowledge Discovery and Data Mining24th Pacific-Asia Conference, 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
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Mining Association rules for Low-Frequency itemsets. [PDF]
PLoS ONE, 2018 High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu +2 more
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Mining High Utility Itemsets with Regular Occurrence
Journal of ICT Research and Applications, 2016 High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These itemsets
Komate Amphawan +3 more
doaj +4 more sources