High utility itemset mining (HUIM) from quantitative datasets plays a crucial role in data mining. It aims to discover itemsets with high utility (HUI) and finds applications in diverse areas, such as analyzing user behavior in online stores, studying biomedical data, and cross-marketing [9, 15].Developing efficient algorithms for HUIM is a non-trivial task …
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