Data Mining Research Based on Analysis of the Chinese-Foreign Cooperation in Running Schools

Abstract

Chinese-foreign cooperation in running schools is an important way to promote education reform and development in our country. In this paper, we use the K-Means clustering in data mining method to analyze the data, and data warehouse and the acquisition of knowledge, analyzing the development of sino-foreign cooperation in running schools in China. This article first to 1452 papers in CNKI knowledge base, data warehouse is generated, using the K-Means type algorithm and similarity algorithm, development trend of Chinese-foreign cooperation in running schools, Chinese-foreign cooperation in running schools national distribution, sino-foreign cooperation in running schools, Chinese-foreign cooperation in running schools in domestic distribution of the four aspects are analyzed.