Research Article
Analysis and Prediction of CET4 Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-031-23950-2_12, author={Haiyan Liu}, title={Analysis and Prediction of CET4 Based on Data Mining}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Data mining CET-4 Performance analysis}, doi={10.1007/978-3-031-23950-2_12} }- Haiyan Liu
Year: 2023
Analysis and Prediction of CET4 Based on Data Mining
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_12
Abstract
CET4 analysis and prediction based on data mining is a technology that uses data mining technology to analyze system performance. It can be used as an effective tool to predict the future performance of any system or application. The main goal of this technology is to identify the weaknesses in the system in order to improve it, so as to obtain better results and efficiency. This technology helps improve the productivity of employees and improves their efficiency by identifying areas where they need more training or improvement. Based on the analysis and prediction of CET-4 scores based on data mining, this paper analyzes many factors affecting CET-4 based on multiple linear regression algorithm. According to the idea of data mining, historical data are collected and transformed appropriately, and many factors affecting CET-4 are analyzed by using statistical analysis technology. It is concluded that the linear regression relationship between CET-4 and its influencing factors has a high degree of fitting, which can be used to predict CET-4, and has a great guiding role and use value for students’ learning and school teaching management.
