Results 131 to 140 of about 8,356 (188)

Design and implementation of college students' physical education teaching information management system by data mining technology. [PDF]

Heliyon
Rao W.
europepmc   +1 more source

Revealing the antimicrobial potential of traditional Chinese medicine through text mining and molecular computation. [PDF]

Brief Bioinform
Chung MC, Su LJ, Chen CL, Wu LC.
europepmc   +1 more source

Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification. [PDF]

BMC Bioinformatics
Tan CY, Ong HF, Lim CH, Tan MS, Ooi EH, Wong K.   +5 more
europepmc   +1 more source

Evolutionary Insights from Association Rule Mining of Co-Occurring Mutations in Influenza Hemagglutinin and Neuraminidase. [PDF]

Viruses
Galeone V, Lee C, Monaghan MT, Bauer DC, Wilson LOW.   +4 more
europepmc   +1 more source

Data Mining of Infertility and Factors Influencing Its Development: A Finding From a Prospective Cohort Study of RaNCD in Iran. [PDF]

Health Sci Rep
Heydarian H, Abbasi M, Najafi F, Darbandi M.   +3 more
europepmc   +1 more source

Study on urban residents' travel mode choice based on the CART-Apriori method. [PDF]

Sci Rep
Song H, Wang X, Tian W, Shi L, Li S.
europepmc   +1 more source

Study on the co-occurrence of multiple health service needs throughout the lifecourse of rural residents in China based on association rules. [PDF]

Front Public Health
Jia J, Liu X, Ren P, Chen M, Xu J, Zhang X.   +5 more
europepmc   +1 more source

The border tourism hotspots network based on travelogues. [PDF]

Heliyon
Zhang S, Yang Z, Wang C.
europepmc   +1 more source

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Frequent Itemset Mining for Big Data

2013 IEEE International Conference on Big Data, 2013
Frequent Itemset Mining (FIM) is one of the most well known techniques to extract knowledge from data. The combinatorial explosion of FIM methods become even more problematic when they are applied to Big Data. Fortunately, recent improvements in the field of parallel programming already provide good tools to tackle this problem.
Moens, Sandy, Akşehirli, Emin, Goethals, Bart   +2 more
openaire   +2 more sources

Frequent Itemset Mining

2019
We present a survey of the most important algorithms that have been proposed in the context of the frequent itemset mining. We start with an introduction and overview of basic sequential algorithms, and then discuss and compare different parallel approaches based on shared-memory, message-passing, map-reduce, and the use of GPU accelerators.
Cafaro, Massimo, Pulimeno, Marco
openaire   +2 more sources