Regression Method in Data Mining: A Systematic Literature Review
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11831-024-10088-5.pdf
Reference102 articles.
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2. Andreetta A, Cecchini G, Bonifacio E, Comolli R, Vingiani S, Carnicelli S (2016) Tree or soil? Factors influencing humus form differentiation in Italian forests. Geoderma 264:195–204
3. Belciug S (2020) Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research. J Biomed Inform 102:103373
4. Buya S, Tongkumchum P, Owusu BE (2020) Modelling of land-use change in Thailand using binary logistic regression and multinomial logistic regression. Arab J Geosci 13:437
5. Cai J, Xu K, Zhu Y, Hu F, Li L (2020) Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest. Appl Energy 262:114566
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