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Mining high average-efficiency itemsets based on a compact list structure
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DOI：10.1016/j.engappai.2025.113639.png)
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Abstract
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• A compact AE-List structure stores key information instead of original database. • The pruning strategy based on new upper bound can reduce join operations. • The EAECS is introduced to improve the runtime, although it sacrifices some memory. • Various experiments were performed by benchmark datasets to show improvement.
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Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure.png)
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