Incremental high average-utility itemset mining: survey and challenges

Incremental high average-utility itemset mining: survey and challenges

Abstract The 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. However, practical applications like market basket analysis and bus...

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Bibliographic Details
Main Authors: Jing Chen, Shengyi Yang, Weiping Ding, Peng Li, Aijun Liu, Hongjun Zhang, Tian Li
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Dynamic data mining
High Utility Item Mining
High Average Utility Item Mining
Pattern mining
Online Access:https://doi.org/10.1038/s41598-024-60279-0

Internet

https://doi.org/10.1038/s41598-024-60279-0

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