Efficient Mining of Non-Dominated High Quantity-Utility Patterns

Jimmy Ming‐Tai Wu, Qian Teng, Gautam Srivastava, Matin Pirouz, Jerry Chun‐Wei Lin · 2020

In this paper, we propose a new pattern called skyline quantity-utility pattern (SQUP) to provide better estimations in the decision-making process by considering quantity and utility together. Two algorithms respectively called SQUM-1 and SQUM-2 are presented to efficiently mine the set of SQUPs. Two new efficient utility-max structures are also mentioned for the reduction of the candidate itemsets respectively utilized in two developed algorithms. Our in-depth experimental results prove that our proposed algorithms achieve good performance in terms of runtime and memory usage.

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