Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Educational Donation Mechanism Based on Data Mining and Economics

Download as PDF

DOI: 10.23977/ETIS2020014


Yu Zhou, Xuesong Zhang, and Wei Zhou

Corresponding Author

Yu Zhou


First, preprocess the data. Perform data screening based on the completeness and redundancy of the information, delete data with less than the threshold, and use pca to combine indicators of different attributes. Normalize the retained school indicators. Determine the weight between the indicators. Calculate the school's score and allocate funds according to the school's score. Second, define the index for evaluating investment benefits, and reflect the changes in growth efficiency re and growth efficiency rate rgr to reflect the cost-related benefits. rgr determines the investment period as 7 years. Starting from the cost-effectiveness of the investment, evaluate and analyze the effectiveness of the investment, establish a dea cost-effectiveness analysis model, and determine the school with the best unit return on investment. Consider the subjective processing in data preprocessing. The corresponding results are compared with the original results to illustrate the rationality of the subjective treatment.


Pac; re; rgr; economics; dea cost-effectiveness analysis model

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.