The purpose is to promote the integrated development of innovation and entrepreneurship education (IEE) and professional education (PE) in colleges and universities (CAUs) more accurately and efficiently. Data mining (DM) technology is introduced to study IEE + PE in CAUs. At present, although the state strongly supports the IEE + PE, the integration progress is still slow, and IEE and PE are still completely independent of each other. Therefore, it is urgent to combine IEE with PE organically. Accordingly, based on DM technology, this work analyzes the current situation and existing problems of IEE + PE and puts forward suggestions and corresponding countermeasures for the future development of IEE + PE. The results show the following: (1) College students have high expectations of cultivating their innovation and entrepreneurship ability. (2) The internal and external influencing factors of IEE must be merged. (3) The implementation methods of IEE should be diversified. (4) The current resource allocation of IEE is unreasonable. Based on the above analysis, the existing problems are studied in detail and the corresponding countermeasures are put forward. Meanwhile, DM technology provides a theoretical data basis, making the research results more authentic and reliable and providing reference suggestions for IEE + PE.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.