Mining Correlated High Utility Itemsets in One Phase

Mining Correlated High Utility Itemsets in One Phase

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 focus on the utility...

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Bibliographic Details
Main Authors: Bay Vo, Le V. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Loan T. T. Nguyen, Tzung-Pei Hong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Correlated high-utility itemset
data mining
high-utility pattern
projected database
Online Access:https://ieeexplore.ieee.org/document/9091523/

Internet

https://ieeexplore.ieee.org/document/9091523/

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