Research on Decision Tree Algorithm in Colleges and Universities Financial Management
- DOI
- 10.2991/978-94-6463-264-4_7How to use a DOI?
- Keywords
- Decision tree algorithm; Colleges and universities; Financial management; Data preprocessing; Model evaluation
- Abstract
The importance of financial information management in colleges and universities is becoming more and more prominent. How to manage financial information efficiently has become an important issue of financial management in colleges and universities. This paper takes decision tree algorithm as the main research method and discusses its application in financial information management in colleges and universities. Firstly, the basic principle and characteristics of decision tree algorithm are introduced, and then its application in financial information management in colleges and universities is elaborated, including data preprocessing, feature selection, model construction and model evaluation. Finally, the validity and practicability of decision tree algorithm in financial information management of colleges and universities are verified by experiments, and its future development is prospected.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Ligang Chen AU - Yilin Chen PY - 2023 DA - 2023/09/28 TI - Research on Decision Tree Algorithm in Colleges and Universities Financial Management BT - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) PB - Atlantis Press SP - 49 EP - 55 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-264-4_7 DO - 10.2991/978-94-6463-264-4_7 ID - Chen2023 ER -