Efficiently mining uncertain high-utility itemsets

DOI10.1007/S00500-016-2159-1zbMath1381.68246OpenAlexW2347204429MaRDI QIDQ1701787

Philippe Fournier-Viger, Vincent S. Tseng, Tzung-Pei Hong, Wensheng Gan, Jerry Chun- Wei Lin

Publication date: 27 February 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-016-2159-1

zbMATH Keywords

uncertaintydata mininghigh-utility itemsetlarge-scale datasetpruning strategies

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (4)

An efficient approach for mining weighted uncertain interesting patterns ⋮ Efficiently mining uncertain high-utility itemsets ⋮ Correlated utility-based pattern mining ⋮ Efficient approach of recent high utility stream pattern mining with indexed list structure and pruning strategy considering arrival times of transactions

Cites Work

• Mining top-\(k\) high utility patterns over data streams
• Managing and mining uncertain data
• Efficiently mining uncertain high-utility itemsets

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