Publisher
Springer Science and Business Media LLC
Reference29 articles.
1. Rady, E.H.A.; Anwar, A.S.: Prediction of kidney disease stages using data mining algorithms. Inform. Med. Unlocked 15, 100178 (2019)
2. Joseph, S.I.T.; Thanakumar, I.: Survey of data mining algorithm’s for intelligent computing system. J Trends Comput. Sci. Smart Technol. (TCSST) 1(01), 14–24 (2019)
3. Farzin, S.; Chianeh, F.N.; Anaraki, M.V.; Mahmoudian, F.: Introducing a framework for modeling of drug electrochemical removal from wastewater based on data mining algorithms, scatter interpolation method, and multi criteria decision analysis (DID). J. Clean. Prod. 122075 (2020).
4. Oladele, T.O.; Ogundokun, R.O.; Kayode, A.A.; Adegun, A.A.; Adebiyi, M.O.: Application of data mining algorithms for feature selection and prediction of diabetic retinopathy. In: International Conference on Computational Science and Its Applications, pp. 716–730. Springer, Cham (2019)
5. Bai, S.; Li, M.; Kong, R.; Han, S.; Li, H.; Qin, L.: Data mining approach to construction productivity prediction for cutter suction dredgers. Autom. Constr. 105, 102833 (2019)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献