Application of Data Mining Technology of Data Fusion Information Entropy in Scientific and Technological Cooperation

In today's world, a new round of technological and industrial revolutions have changed the economic structure and the pattern of international competition, and the formation of an international consensus has been promoted by scientific and technological means. In the process of reshaping the world's innovation landscape, China has become an important participant in global scientific and technological cooperation. This paper studies the data mining technology of data fusion information entropy and applies it to international scientific and technological cooperation to improve the level of cooperation in key areas where China has scientific and technological advantages or needs, which can enhance China's scientific, and technological discourse power and appeal. The main research content of this paper is the application research of data fusion combined with data mining technology in international scientific and technological cooperation. Taking the high-speed rail going global cooperation project as an example, the number of scientific and technical personnel in the cooperation project and the scope of professional disciplines designed by the project are analyzed. Among the number of scientific and technical personnel, the number of quality inspection technicians at home and abroad is the largest, accounting for 26.62% of the total team, indicating that the quality inspection technicians play an important role; in the distribution of disciplines, high-speed rail is involved. Design majors and engineering majors have the largest number of people, with 45 and 31 people respectively, indicating that in the future, similar cooperation projects should vigorously cultivate talents in engineering design technology.