KNN algorithm of early warning system for applied research course

Zian Li; Cui Zhao

doi:10.1051/e3sconf/202021801030

All issues

Volume 218 (2020)

E3S Web Conf., 218 (2020) 01030

References

Open Access

Issue		E3S Web Conf. Volume 218, 2020 2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)


Article Number		01030
Number of page(s)		5
Section		Research on Energy Technology Application and Consumption Structure
DOI		https://doi.org/10.1051/e3sconf/202021801030
Published online		11 December 2020

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Lu Kai, Xu Hua. ML-KNN algorithm based on the nearest neighbor distance weight [J/OL]. Computer Application Research: 1-5 [2019-06-20]. https://doi.org/10.19734/j.issn.10013695.2018.09.0738. [Google Scholar]

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[1] Research on KNN algorithm for big data classification[J]. Geng Lijuan, Li Xingyi. Computer Application Research. 2014(05) [Google Scholar]

[2] Small sample KNN classification algorithm based on k-nearest neighbor graph[J]. Liu Yingdong, Niu Huimin. Computer Engineering. 2011(09) [Google Scholar]

[3] KNN Model-Based Approach in Classification. Guo, G, Wang, H, Bell, D. et al. Otm Confederated International Conferences. 2003 [Google Scholar]

[4] Su Yongjie. Detailed explanation of the principle of KNN nearest neighbor algorithm[Z]. 2017. [Google Scholar]

[5] Fan Ruizhi. Student loan risk model based on KNN algorithm[J]. Electronic Test, 2019(Z1): 80-81+84. [Google Scholar]

[6] Yang Yanxin. Road construction risk identification based on KNN algorithm[J]. Resources Information and Engineering, 2019, 34(02): 137-138. [Google Scholar]

[7] Yang Yanxin. Road construction risk identification based on KNN algorithm[J]. Resources Information and Engineering, 2019, 34(02): 137-138. [Google Scholar]

[8] Lu Kai, Xu Hua. ML-KNN algorithm based on the nearest neighbor distance weight [J/OL]. Computer Application Research: 1-5 [2019-06-20]. https://doi.org/10.19734/j.issn.10013695.2018.09.0738. [Google Scholar]