Results 121 to 130 of about 15,313,957 (171)

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

Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]

Sci Rep
Al-Wagih K, Abdullah MA, Senan EM.
europepmc   +1 more source

Scalable discovery of spatial multicellular patterns via neighborhood-to-sequence transformation. [PDF]

Commun Biol
Zhao F, Wang S, Wang Z, Cui Y, Zhao Y, Yuan Z.   +5 more
europepmc   +1 more source

On Building and Evaluating a Medical Records Exploration Interface Using Text Mining Techniques. [PDF]

Entropy (Basel), 2021
Torres Parejo Ú, Campaña JR, Vila MA, Delgado M.   +3 more
europepmc   +1 more source

Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]

Sci Rep
Ni L, Zhang S, Huang K, Wang Y.
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

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

PLoS One
Yu C, Wang H.
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

IPHM: Incremental periodic high-utility mining algorithm in dynamic and evolving data environments. [PDF]

Heliyon
Huang H, Chen S, Chen J.
europepmc   +1 more source

Induced diabetic neurogenic bladder animal models: application characteristics and standardization proposals via systematic data mining. [PDF]

Front Endocrinol (Lausanne)
Jin A, Shao X, Liang X, Xing B, Qin S, He Y.   +5 more
europepmc   +1 more source