Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

Research Article

Design and Implementation of Innovative Entrepreneurial Experience System for College Students Based on Data Analysis Model

  • @INPROCEEDINGS{10.1007/978-3-030-87903-7_13,
        author={Lufeng Li},
        title={Design and Implementation of Innovative Entrepreneurial Experience System for College Students Based on Data Analysis Model},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II},
        proceedings_a={BIGIOT-EDU PT2},
        year={2021},
        month={10},
        keywords={College Students’ innovation and entrepreneurship Multidimensional dynamic innovation model Hadoop technology SWM algorithm},
        doi={10.1007/978-3-030-87903-7_13}
    }
    
  • Lufeng Li
    Year: 2021
    Design and Implementation of Innovative Entrepreneurial Experience System for College Students Based on Data Analysis Model
    BIGIOT-EDU PT2
    Springer
    DOI: 10.1007/978-3-030-87903-7_13
Lufeng Li1
  • 1: North Sichuan Medical College

Abstract

Aiming at some key problems of College Students’ innovation and entrepreneurship under the mode of school enterprise cooperation, this paper uses multidimensional dynamic innovation model (mdmi) to qualitatively analyze the problems and development trend in the process of College Students’ innovation and entrepreneurship activities from multiple perspectives, and uses multi factor Logistic regression analysis to quantitatively analyze the probabilistic nonlinear regression relationship between College Students’ innovation and entrepreneurship mechanism and multiple influencing factors. This paper designs and implements an innovation and entrepreneurship experience system for college students based on multi-dimensional dynamic innovation model. The system adopts Java EE design framework and Hadoop development mode, and adopts the ASP.NET The collaborative filtering technology and support vector machine (SVM) algorithm are used for personalized recommendation and data mining of innovation and entrepreneurship. After the completion of the system design, the actual operation shows that the overall operation of the system is stable, which has a positive significance to promote the development of College Students’ innovation and entrepreneurship activities.