A study of corporate sustainability strategies in education: an innovative learning model from a data mining perspective

Abstract

The education industry is experiencing profound changes under the joint promotion of digital economy and lifelong concept. The research combines data mining tools, proposes a multi-indicator segmentation system for customers of education enterprises, constructs a customer segmentation model, analyzes the customer data of education enterprises collected by the improved K-means clustering method, determines the results of customer segmentation, and at the same time, combines the customer segmentation with the collaborative filtering recommendation algorithm to propose an innovative learning model based on the recommendation of customer segmentation. Through the results of the study, it can be seen that the improved K-means clustering method divides the customers into 4 classes, and the innovative learning model of this paper's recommendation algorithm compared with the traditional recommendation algorithm has excellent performance in terms of recommendation accuracy and recommendation time, which proves the effectiveness and practicality of the recommendation algorithm. Finally, the sustainable development strategy of enterprises in the field of education is proposed to provide technical support and theoretical reference for educational enterprises to realize the expansion from scale to refined management and sustainable development.