Data Analysis of Undergraduate Employment Based on Decision Classification Algorithm

DOI

10.2991/978-94-6463-192-0_111How to use a DOI?

Keywords

decision classification algorithm; Undergraduate employment; data analysis

Abstract

When the school uses the employment situation analysis system to analyze the employment situation of undergraduate students every year, because the classification decision rules are complex, it is difficult for the system to understand the complex rules when analyzing the employment situation of graduates, which leads to the slow operation of the system. Therefore, a brand-new employment situation analysis system is designed based on the decision classification algorithm. On the system hardware, the communication circuit of CAN bus is redesigned. On the software side, we use the decision classification algorithm to set up a most concise system classification decision rule, so as to automatically generate the analysis results of the employment situation of undergraduate graduates. The proposed system is applied to the analysis of the employment situation of undergraduate graduates in a university. The results show that the time taken by the system to analyze the employment situation is 97 356 ms and 70 372 ms shorter than the previous system. It can be seen that the rules set this time are easier to be understood by the system, and the results of employment situation analysis can be quickly obtained.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Yu Guan
AU  - Jing Luo
PY  - 2023
DA  - 2023/07/04
TI  - Data Analysis of Undergraduate Employment Based on Decision Classification Algorithm
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 854
EP  - 860
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_111
DO  - 10.2991/978-94-6463-192-0_111
ID  - Guan2023
ER  -