Coupling research of Confucianism and Chinese philosophy based on data mining model

Abstract

Abstract Confucianism is a cultural school guided by Confucianism, which is of great significance to the development of Chinese philosophy. This paper first introduces the steps of the outlier data mining algorithm of weighted deep forest, describes the construction method of weighted deep forest, divides the data into several different dimensions, and enters the random forest training in turn. Then outlier detection is introduced, dividing the data into classes with different densities and calculating their local isolation factors and outlier data. Then the algorithm’s performance is tested, and finally, the influence of Confucianism on Chinese philosophy and the main position of Confucian philosophy in the history of Chinese philosophy is analyzed. In terms of algorithm performance, the number T of different decision trees has an impact on AUC. When the number T of subtrees is 50, the AUC value starts to converge, and when the number T is 100 and 200, the AUC value of the algorithm is close to 1. In terms of the influence of Confucianism on Chinese philosophy, 75% of the people think that Confucianism Confucianism is precocious and has enriched the connotation and promoted the evolution of Chinese philosophy. Confucianism is an essential part of the Chinese philosophical calendar, advancing Chinese philosophy and moral culture.