Research on Career Guidance Course System based on Apriori Algorithm and Computer Big Data
Lei Wang, Yang Bai · 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE) · 2022
Aiming at the problems of unsmooth information and difficulty in statistical analysis of information in the employment guidance work of college students, the article uses Visual Fox-Pro to program, designs a data verification program, and realizes the function of data intelligent proofreading. Secondly, the article applies the Apriori algorithm in data mining technology, takes university employment history data as the research object, and takes the student employment guidance as the research purpose. Through the mining of university employment data, it finds the internal factors that affect the employment of students, and discovers the education attributes and education attributes of students. The correlation between employment attributes. Through the actual test of the optimization algorithm, the generation of a large number of meaningless association rules can be avoided and the mining efficiency can be improved.