Application of Parallel H-mine Algorithm in Smart Campus Students

The continuous development and application of big data information technology provides more effective support and guidance for students’ social practice and behavior analysis in smart campus to a large extent, thus providing guidance for the effective promotion of Internet information technology in the real sense. Especially under the effective promotion of parallel H-mine algorithm, H-mine algorithm is a parallel algorithm for intelligent campus students. It is a very effective and efficient algorithm, which can be used to solve many types of problems. The main purpose of this paper is to outline the application of H-mine algorithm in intelligent campus students, and explain how to apply it to solve various types of problems. Introduction to H-Mine algorithm In this section, we will discuss the introduction of H-Mine algorithm and its application. This paper studies and analyzes the parallel H-mine algorithm in the application design of intelligent campus, the parallel H-mine algorithm in the social practice effect analysis of intelligent campus students, and the parallel H-mine algorithm in the social practice behavior analysis strategy of intelligent students, which lays a relatively perfect foundation for the effective realization of students’ practice behavior. Applying parallel big data technology to the growing campus big data can not only quickly analyze the behavior characteristics of students, and then provide auxiliary decision-making for colleges and universities and student management, but also take corresponding measures to adapt to the teaching mode according to the behavior rules of students, and realize personalized and high-quality teaching.