A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]
Sci RepBashir S.
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SiBIC: a web server for generating gene set networks based on biclusters obtained by maximal frequent itemset mining. [PDF]
PLoS One, 2013 Takahashi K, Takigawa I, Mamitsuka H.
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A significant amount of data is generated, gathered, stored, and evaluated in real-world applications as a result of technology breakthroughs. Data mining (DM) combines a number of disciplines to efficiently discover hidden patterns from vast archives of
Nedunchezhian Raju, Ambily Balaram
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Evidence-based precision in TCM: A systematic review and Meta-Analysis of data mining for syndrome-specific acupoint combinations in acute asthma exacerbations. [PDF]
Medicine (Baltimore)Yang S, Yang Y, Ding Y, Liu X.
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Extraction of itemsets frequents
International Journal of Mathematics Research, 2020 R. Elayachi +3 more
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Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Sci RepAl-Wagih K, Abdullah MA, Senan EM.
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CLTD-LP: an optimized top-down clustering approach with linear prefix trees for scalable frequent pattern discovery in large datasets. [PDF]
Sci RepSinthuja M, Diviya M, Saranya P.
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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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ECLAT based association rule mining for advancing workplace mental health and organizational insights. [PDF]
Sci RepUllah A +4 more
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