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Proof Learning in PVS With Utility Pattern Mining [PDF]
IEEE Access, 2020 Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz +2 more
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An Incremental High-Utility Mining Algorithm with Transaction Insertion [PDF]
The Scientific World Journal, 2015 Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin +3 more
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Efficient Chain Structure for High-Utility Sequential Pattern Mining [PDF]
IEEE Access, 2020 High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative databases.
Jerry Chun-Wei Lin +4 more
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Top-k Average Utility Co-location Pattern Mining of Fuzzy Features [PDF]
Jisuanji kexue yu tansuo, 2022 The spatial co-location pattern refers to a subset of non-empty spatial features whose instances are frequently located together in a spatial neighborhood.
LI Jinhong, WANG Lizhen, ZHOU Lihua
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A Survey of Correlated High Utility Pattern Mining
IEEE Access, 2021 Pattern mining is an unsupervised data mining approach aims to find interesting patterns that can be used to support decision-making. High Utility Pattern Mining (HUPM) aims to extract patterns having high utility or importance which has broad ...
Rashad S. Almoqbily +2 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
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A single‐phase algorithm for mining high utility itemsets using compressed tree structures
ETRI Journal, 2021 Mining high utility itemsets (HUIs) from transaction databases considers such factors as the unit profit and quantity of purchased items. Two‐phase tree‐based algorithms transform a database into compressed tree structures and generate candidate patterns
Anup Bhat B, Harish SV, Geetha M
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An Efficient Approach for Mining Reliable High Utility Patterns
IEEE Access, 2022 Utility mining is one of the most thriving research topics with a wide range of real-world applications. High utility pattern mining uses a utility function to extract all desired patterns that exceed a minimum utility threshold.
Mohammed A. Fouad +4 more
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AN EFFICIENT HIDING METHOD FOR PRIVACY PRESERVING UTILITY MINING [PDF]
International Journal of Intelligent Computing and Information Sciences, 2023 Due to the rapid evolution of data saved in electronic form, data mining technologies have become critical and indispensable in looking for nontrivial, implicit, hidden, and possibly beneficial information in enormous volumes of data.
Mohamed Ali +3 more
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LUIM: New Low-Utility Itemset Mining Framework
IEEE Access, 2019 High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini +5 more
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