非支配型高数量效用模式的有效挖掘

J. Wu, Qian Teng, Gautam Srivastava, Matin Pirouz, Chun-Wei Lin
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引用次数: 0

摘要

本文提出了一种新的天际线数量-效用模式(SQUP),以便在决策过程中更好地综合考虑数量和效用。提出了SQUM-1和SQUM-2两种算法来有效地挖掘squp集。本文还提出了两种新的有效的效用最大化结构,分别用于两种开发的算法中候选项集的缩减。我们的深入实验结果证明,我们提出的算法在运行时间和内存使用方面取得了良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Mining of Non-Dominated High Quantity-Utility Patterns
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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