Results 111 to 120 of about 15,313,538 (164)

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

OLOGRAM-MODL: mining enriched n-wise combinations of genomic features with Monte Carlo and dictionary learning. [PDF]

NAR Genom Bioinform, 2021
Ferré Q, Capponi C, Puthier D.
europepmc   +1 more source

Personalized customization: Service resource configuration optimization driven by customer requirements accurately. [PDF]

PLoS One
Yu C, Wang H.
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

ECG Multi-Emotion Recognition Based on Heart Rate Variability Signal Features Mining. [PDF]

Sensors (Basel), 2023
Wang L, Hao J, Zhou TH.
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

TKFIM: Top-K frequent itemset mining technique based on equivalence classes. [PDF]

PeerJ Comput Sci, 2021
Iqbal S, Shahid A, Roman M, Khan Z, Al-Otaibi S, Yu L.   +5 more
europepmc   +1 more source

Sliding window based rare partial periodic pattern mining algorithms over temporal data streams. [PDF]

Front Big Data
Upadhya KJ, Lobo R, Chhabra MS, Paleja A, Rao BD, M G, Sisodia P, Reddy BA.   +7 more
europepmc   +1 more source

Quick mining in dense data: applying probabilistic support prediction in depth-first order. [PDF]

PeerJ Comput Sci
Sadeequllah M, Rauf A, Rehman SU, Alnazzawi N.   +3 more
europepmc   +1 more source