Research on Early Warning Control of University Budget Process Risk Based on Naive Bayes

DOI

10.2991/jahp-18.2018.114How to use a DOI?

Keywords

budget process risk; early warning; naive Bayes; R language

Abstract

With the implementation of budget management in universities, some good results have been achieved. However, there are some problems in the course of operation, such as how to find out the risks in the course of budget project implementation and judge the risk level, and then take action effectively. This paper constructs the relevant indicators of budget risk early warning in universities. The indicators are mainly classified from the inside and outside the risk factors of the universities. Then the classification of the indicators is carried out by using naive Bayes in R language. It proved that the construction of these indicators can be used in universities budget process control in early warning, so that managers can timely detect the risk factors and take appropriate measures.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lingfang Zhu
PY  - 2018/08
DA  - 2018/08
TI  - Research on Early Warning Control of University Budget Process Risk Based on Naive Bayes
BT  - Proceedings of the 3rd International Conference on Judicial, Administrative and Humanitarian Problems of State Structures and Economic Subjects (JAHP 2018)
PB  - Atlantis Press
SP  - 556
EP  - 559
SN  - 2352-5398
UR  - https://doi.org/10.2991/jahp-18.2018.114
DO  - 10.2991/jahp-18.2018.114
ID  - Zhu2018/08
ER  -