University Student Innovation Risk Assessment Model Based on Big Data

Abstract

Since college graduates have different knowledge background and structure, it is impossible to accept all the knowledge systems during the university, so college students need to complete their own knowledge structure before starting their business, so as to deal with the risks and problems encountered in the future startup process, improve the safety and stability of college students' innovation through the assessment of innovation risk assessment, and propose a method for college students' innovation risk assessment based on big data. Construct the big data model of college students' innovation risk index, adopt the method of classification of big data attribute characteristics to make decision making of college students' innovation risk, construct fuzzy decision function, combine with the rules of college students' innovation risk assessment data to carry out segmented pre-whitening matching test, carry out fuzzy clustering treatment on the detected college students' innovation risk assessment data, realize the feature extraction of college students' innovation risk assessment data, and carry out maximum entropy analysis according to the feature extraction result, and realize the optimization of college students' innovation risk assessment. Build and improve the curriculum system of entrepreneurship education. Establishing a scientific and reasonable curriculum system of entrepreneurship education is the starting point of entrepreneurship education. Give full play to the initiative and creativity of team members to minimize team risk. The simulation results show that the method is used to evaluate the innovation risk of college students with better decision-making accuracy, the reliability and confidence of the risk assessment.