Abstract
Abstract
A large amount of student achievement information has been accumulated in the teaching information management system of colleges. It is of great significance to use data mining technology to analyze the data and find out the potential value of the data.The basic idea and defects of the Apriori algorithm are described in this paper, an improved Apriori algorithm is proposed,which is used to analyze the course scores of all students in the software engineering major of a university in 2018, and dig out the relationship between scores and courses, so as to provide learning guidance for students, provide teaching reference for teachers, and have certain guiding significance for the quality of talent cultivation in colleges and universities.
Subject
General Physics and Astronomy
Cited by
2 articles.
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1. Research and Application of an Improved Apriori Algorithm in Market Basket Data;2023 4th International Conference on Machine Learning and Computer Application;2023-10-27
2. Development of Mobile Software for College Talent Acquisition using Achievement Database Mining;2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2023-01-05