Results 111 to 120 of about 15,856,028 (211)

A pattern-growth approach for mining maximal fault-tolerant frequent itemsets. [PDF]

Sci Rep
Bashir S.
europepmc   +1 more source

A Fast Algorithm for Mining Utility-Frequent

, 2008
. Utility-based data mining is a new research area interested in all types of utility factors in data mining processes and targeted at incorporating utility considerations in both predictive and descriptive data mining tasks.
Igor Kononenko, Vid Podpečan, Nada Lavrač   +2 more
core  

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.
europepmc   +1 more source

arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]

Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün, Kurt Hornik, Michael Hahsler   +2 more
core  

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

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

Overview of frequent pattern mining. [PDF]

Genomics Inform, 2022
Ott J, Park T.
europepmc   +1 more source

An effectiveness assessment ensemble for transmission corridor mechanized construction schemes based on weighted itemset mining and factor criticality analysis. [PDF]

Sci Rep
Yang X, Hu J, Sun C, Huang Y, Tang C, Huang J.   +5 more
europepmc   +1 more source

A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis. [PDF]

Entropy (Basel), 2023
Li D, Cheng X.
europepmc   +1 more source

Exploration of association rule mining between lost-linking features and modes of loan customers using the FP-growth algorithm for risk warning strategies. [PDF]

PLoS One
Wang J, Jiang X, He Y, Guan B, Deng C.
europepmc   +1 more source