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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Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques. [PDF]
Proteome Sci, 2014 Vu TN +6 more
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A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]
Sci RepBashir S.
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A survey of incremental high‐utility itemset mining
WIREs Data Mining Knowl. Discov., 2018 Wensheng Gan +5 more
semanticscholar +1 more source
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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A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI
, 2014 Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items.
Pillai, Jyothi +4 more
core
ECLAT based association rule mining for advancing workplace mental health and organizational insights. [PDF]
Sci RepUllah 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]
Front Mol BiosciChen X +11 more
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Bit-table based biclustering and frequent closed itemset mining in high-dimensional binary data. [PDF]
ScientificWorldJournal, 2014 Király A, Gyenesei A, Abonyi J.
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Genetic Programming and Frequent Itemset Mining to Identify Feature Selection Patterns of iEEG and fMRI Epilepsy Data. [PDF]
Eng Appl Artif Intell, 2015 Smart O, Burrell L.
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