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A Robust Technique for Closed Frequent and High Utility Itemsets Mining: Closed-FHUIM

Frequent itemset mining (FIM) and high utility itemset mining (HUIM) are popular data mining techniques used in various real-world applications such as retail-market, bio-medicine, and click-stream analysis. However, these techniques have certain limitations. Support, defined as the frequency of an...

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Principais autores: Muhammad Waheed Ashraf, M. Asif Naeem, Heejeong Jasmine Lee
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Closed itemsets
data mining
frequent itemsets
high utility itemsets
itemset mining
גישה מקוונת:https://ieeexplore.ieee.org/document/10810425/
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