Research Article
Application of Classification Mining Technology Based on Decision Tree in Student Resource Management
@INPROCEEDINGS{10.1007/978-3-031-23950-2_17, author={Hongting Li}, title={Application of Classification Mining Technology Based on Decision Tree in Student Resource Management}, 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={Decision tree Excavation technology Student resource management}, doi={10.1007/978-3-031-23950-2_17} }- Hongting Li
Year: 2023
Application of Classification Mining Technology Based on Decision Tree in Student Resource Management
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_17
Abstract
This paper discusses mining method based on decision tree in student resource management. With the increase of college enrollment, the number of students is also increasing. Oral teaching management produces a lot of data every day, and the existing teaching management system is becoming more and more problematic. With the wide application of database management system, the ability of data collection has been greatly improved and a large amount of data has been accumulated. Behind these data are very important and valuable information. The establishment of data mining technology is to analyze these data at a higher level and obtain the potential information of future operation and life. Data mining is a process of extracting hidden, unknown but potentially useful information and knowledge from a large number of incomplete, noisy, fuzzy and random fact data. How to transform these data information into knowledge representation, reasonably use these information to serve teaching management, scientifically guide teaching and improve teaching management level is an urgent topic for us to study. Data mining technology is a feasible and effective method to solve this problem.
