An efficient method for mining high average-utility itemsets based on particle swarm optimization with multiple minimum thresholds

doi:10.1016/j.asoc.2025.114046

An efficient method for mining high average-utility itemsets based on particle swarm optimization with multiple minimum thresholds

2025-10-10

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Zuzana Komínková Oplatková

DOI：10.1016/j.asoc.2025.114046

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• Propose two efficient algorithms, HAUI-BPSO-MMAU and HAUIF-PSO-MMAU, based on PSO. • Proposed algorithms rely on two pruning strategies to efficiently cut back the search scope. • Reduce the computation by early pruning candidates.

An efficient method for mining high average-utility itemsets based on particle swarm optimization with multiple minimum thresholds

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