Results 111 to 120 of about 10,877 (201)

Incremental high average-utility itemset mining: survey and challenges. [PDF]

Sci Rep
Chen J, Yang S, Ding W, Li P, Liu A, Zhang H, Li T.   +6 more
europepmc   +1 more source

FraudMiner: a novel credit card fraud detection model based on frequent itemset mining. [PDF]

ScientificWorldJournal, 2014
Seeja KR, Zareapoor M, Zareapoor M.
europepmc   +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 Rep
Sinthuja M, Diviya M, Saranya P.
europepmc   +1 more source

Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques. [PDF]

Proteome Sci, 2014
Vu TN, Mrzic A, Valkenborg D, Maes E, Lemière F, Goethals B, Laukens K.   +6 more
europepmc   +1 more source

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 Biosci
Chen X, Yu J, Dong X, Chen Z, Tian J, Zhao M, Jiang M, Guo H, Zhou X, Fa L, Li Y, Zhang L.   +11 more
europepmc   +1 more source

Bit-table based biclustering and frequent closed itemset mining in high-dimensional binary data. [PDF]

ScientificWorldJournal, 2014
Király A, Gyenesei A, Abonyi J.
europepmc   +1 more source

A high utility itemsets mining algorithm based on co-evolution. [PDF]

Sci Rep
Yang W, Han M, Dai Z, Li J, Ding J.
europepmc   +1 more source

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.
europepmc   +1 more source

An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare. [PDF]

Sci Rep
Sharma S, Sharma R, Kumar S, Min H.
europepmc   +1 more source

An integrated analysis method for critical human factors and paths in hazardous chemical storage accidents based on association rule mining and bayesian networks. [PDF]

PLoS One
Ma S, Jiang W.
europepmc   +1 more source