Analysis of Deep Entrepreneurial Model in College Students Based on Mixed Space and Time Big Data Stream

Abstract

Due to the homogenization of massive entrepreneurial undertaking by college students, they face a series of dilemmas such as the low utilization rate, poor user stickiness, failure to support various activities of the teachers and students, inability to maintain the sustainable development and so on. The solution is to establish a deep entrepreneurship mode of college students based on the mixed space and time big data stream. In this paper, a new idea of building an information platform based on the mixed space and time big data stream is explored. A new method for the construction of platform with the data as the core and the project as the orientation is put forward, which is composed of the data source analysis, data processing analysis and model establishment, innovation and entrepreneurship project module. Hence, a system platform is established with the “data” as the center and the functions expanded continuously by using the data mining technology, which will play an active role in the sustainable development of projects, the self-cognition of teachers and students, the discovery of enterprise talents, the decision making of college education and other aspects.