Effective Application of Naive Bayesian Classifier for Personal Online Learning Networks-Reference-Cited by-同舟云学术

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Effective Application of Naive Bayesian Classifier for Personal Online Learning Networks

Published:2019-07-02 Issue:3 Volume:26 Page:174-182
ISSN:1068-9605
Container-title:International Journal of Wireless Information Networks
language:en
Short-container-title:Int J Wireless Inf Networks

Author:

Wang Deyan,Adam Amritl Jaharadak,Xiao Ying,Gao Ya

Funder

the Project supported by the Educational Reform of Higher Education in Jiangsu Province of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture

Link

http://link.springer.com/content/pdf/10.1007/s10776-019-00436-9.pdf

Reference27 articles.

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2. S. V. Mehmet and G. Mustafa, Criminal prediction using Naive Bayesian theory, Neural Computing & Applications, Vol. 28, pp. 2581–2592, 2017. https://doi.org/10.1007/s00521-016-2205-z .

3. A. Mohammad and C. Girija, Energy efficient data mining scheme for high dimensional data, Procedia Computer Science, Vol. 46, pp. 483–490, 2015. https://doi.org/10.1016/j.procs.2015.02.047 .

4. X. Li, L. M. Zhang and S. H. A. Zhang, Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information, Geoscience Frontiers, Vol. 9, No. 6, pp. 1679–1687, 2018.

5. M. Matthew, P. L. De Leon, and D. Keeley, Bayesian classification of falls risk, Gait & Posture, Vol. 67, pp. 99–103, 2019.

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