Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]
PLoS OneLe N, Vo H, Nguyen T.
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A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]
Sci RepBashir S.
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Overview of frequent pattern mining. [PDF]
Genomics Inform, 2022 Ott J, Park T.
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Bisnis ritel menghadapi tantangan dalam mengelola inventaris akibat fluktuasi permintaan yang tidak menentu dan kurangnya pemahaman terhadap pola pembelian pelanggan.
Sulanjari, Kinana Syah
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An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare. [PDF]
Sci RepSharma S, Sharma R, Kumar S, Min H.
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Mining personalized core traditional Chinese medicine prescriptions for rheumatoid arthritis and elucidating their mechanisms via frequent closed Itemset compression and multilevel network pharmacology. [PDF]
Front Mol BiosciChen X +11 more
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OLOGRAM-MODL: mining enriched n-wise combinations of genomic features with Monte Carlo and dictionary learning. [PDF]
NAR Genom Bioinform, 2021 Ferré Q, Capponi C, Puthier D.
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Personalized customization: Service resource configuration optimization driven by customer requirements accurately. [PDF]
PLoS OneYu C, Wang H.
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ECG Multi-Emotion Recognition Based on Heart Rate Variability Signal Features Mining. [PDF]
Sensors (Basel), 2023 Wang L, Hao J, Zhou TH.
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An effectiveness assessment ensemble for transmission corridor mechanized construction schemes based on weighted itemset mining and factor criticality analysis. [PDF]
Sci RepYang X +5 more
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