Evidence-based precision in TCM: A systematic review and Meta-Analysis of data mining for syndrome-specific acupoint combinations in acute asthma exacerbations. [PDF]
Yang S, Yang Y, Ding Y, Liu X.
europepmc +1 more source
Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques. [PDF]
Vu TN +6 more
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Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Al-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]
Sinthuja M, Diviya M, Saranya P.
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Bit-table based biclustering and frequent closed itemset mining in high-dimensional binary data. [PDF]
Király A, Gyenesei A, Abonyi J.
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Dynamic Frequent Itemset Mining Based on Matrix Appriori Algorithm
The frequent itemset mining algorithms discover the frequent itemsets from a database. When the database is updated, the frequent itemsets should be updated as well. However, running the frequent itemset mining algorithms with every update is inefficent.
Oğuz, Damla
core
ECLAT based association rule mining for advancing workplace mental health and organizational insights. [PDF]
Ullah A +4 more
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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]
Chen X +11 more
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Genetic Programming and Frequent Itemset Mining to Identify Feature Selection Patterns of iEEG and fMRI Epilepsy Data. [PDF]
Smart O, Burrell L.
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Federated Learning and Data Mining-Based Botnet Attack Detection Framework for Internet of Things. [PDF]
Sudheera KLK +7 more
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