Results 1 to 10 of about 498 (210)
Ignoring Internal Utilities in High-Utility Itemset Mining
Symmetry, 2022 High-utility itemset mining discovers a set of items that are sold together and have utility values higher than a given minimum utility threshold. The utilities of these itemsets are calculated by considering their internal and external utility values, which correspond, respectively, to the quantity sold of each item in each transaction and profit ...
Damla Oguz
exaly +3 more sources
An Efficient Tree-Based Algorithm for Mining High Average-Utility Itemset
IEEE Access, 2019 High-utility itemset mining (HUIM), which is an extension of well-known frequent itemset mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of itemsets having high utilities in a given dataset.
Irfan Yildirim, Mete Celik
doaj +4 more sources
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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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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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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +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
europepmc +3 more sources
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
doaj +2 more sources
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