Research on Intelligent Mining Methods of University Innovation and Entrepreneurship Education Service Data Based on Multimedia Internet of Things Technology

The massive amount of data directly leads to the complexity of the mining process, resulting in a longer time required for data mining. Therefore, this study designs an intelligent mining method based on multimedia Internet of Things technology for university innovation and entrepreneurship education service data. Firstly, utilizing web scraping technology to obtain massive amounts of data, and developing association rules between data based on their characteristics and mining needs; Then, using multimedia Internet of Things technology to intelligently screen the data, filtering out noise and irrelevant information; Finally, using visualization techniques, the mined data is presented in an intuitive and understandable manner. The comparative experimental results show that compared with traditional mining methods, the new method requires less time to mine data, indicating that the new method is more competitive in practical applications.