Abstract
With the development of the market economy and changes in the demand for talents in the market, the cultivation of innovation and entrepreneurship (IAE) among university students has been emphasized, and how to improve the quality of IAE education and promote the overall development of university students has become a key concern of university teachers. Therefore, the design and implementation of the IAE project management system should be explored in the study, starting from the IAE education of university students. The thesis addresses the current situation and characteristics of IAE development of university students and develops a WEB system applicable to the project management of IAE for university students at this stage. Cluster analysis is a mathematical statistical method for grouping and categorising similar data. The design of a classification system based on university innovation and entrepreneurship data proposes a new definition of outlier index for outliers detected in real time, combined with the concept of CBLOF(t). On this basis, the system also implements the monitoring function for abnormal data, thus serving as system optimisation and fault warning. The system implements the main functions such as login, registration, project release, project declaration, and management.
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