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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
Nguyen LTT, Duong H, Mai A, Vo B.
europepmc +4 more sources
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 ...
Huang H, Chen S, Chen J.
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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 ...
Wang L, Wang S.
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Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules. [PDF]
Sensors (Basel), 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 ...
Mai T, Nguyen LTT, Vo B, Yun U, Hong TP.
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Incremental high average-utility itemset mining: survey and challenges. [PDF]
Sci RepThe 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.
Chen J +6 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 ...
Wu JM, Zhan J, Chobe S.
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A high utility itemsets mining algorithm based on co-evolution. [PDF]
Sci RepMetaheuristic 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
Yang W, Han M, Dai Z, Li J, Ding J.
europepmc +2 more sources
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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Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation [PDF]
EAI Endorsed Transactions on Energy Web, 2021 High-utility based itemset mining is the advancement of recurrent pattern mining that discovers occurrence of frequent transactions from a huge database.
Pazhaniraja N +3 more
doaj +1 more source
High-utility Itemsets Mining Algorithm Based on Double Binary Particle Swarm Optimization [PDF]
Jisuanji gongcheng, 2018 High-utility itemset mining algorithm is an important part of association analysis.By improving the basic binary particle swarm optimization algorithm,a Double Binary Particle Swarm Optimization（DBPSO） algorithm is proposed.The minimum utility threshold ...
JIN Xiaole,LIU Xiabi,MA Xiao
doaj +1 more source