Algorithms Based on Dynamic Minimum Probabilistic Support and Utility Thresholds for Mining Top-K High-Utility Itemsets From Uncertain Databases
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DOI: 10.1109/access.2025.3612006
Abstract: Mining high-utility itemsets (HUIs) from large and uncertain databases is challenging due to the vast data volume and extensive search space. Determining the minimum utility and probabilistic support for all items is also a time-consuming… read more here.
Keywords: utility; probabilistic support; utility itemsets; mining top ... See more keywords