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A highly efficient and scalable prediction approach based o..:
, In:
2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
,
B, Blessed Sam
;
M, Prakash
- p. 1-8 , 2023
Link:
https://doi.org/10.1109/ICSES60034.2023.10465519
RT T1 <cTitle>2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)</cTitle>: T1 <Title>A highly efficient and scalable prediction approach based on random forest that is capable of handling enormous data sets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10465519&Exemplar=1&LAN=DE A1 B, Blessed Sam A1 M, Prakash YR 2023 K1 Heart K1 Sensitivity K1 Forestry K1 Sensitivity and specificity K1 Predictive models K1 Prediction algorithms K1 Data mining K1 Heart Disease K1 Machine Learning K1 Random Forest Classifier K1 Evaluation Metrics SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ICSES60034.2023.10465519 DO https://doi.org/10.1109/ICSES60034.2023.10465519 SF ELIB - SuUB Bremen
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