A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases

A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases

Analyzing customer transactions to discover high-utility itemsets is a popular task, which consists of finding the sets of items that are purchased together and yield a high profit. However, many studies assume that transactional data is static while in real-life, it changes over time. For example,...

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Bibliographic Details
Main Authors: Bay Vo, Loan T.T. Nguyen, Trinh D.D. Nguyen, Philippe Fournier-Viger, Unil Yun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data mining
high utility itemset
dynamic profit
parallel
multithread
Online Access:https://ieeexplore.ieee.org/document/9087858/

Internet

https://ieeexplore.ieee.org/document/9087858/

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