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.

Highlights

  • With the continuous advancement of information construction[1] in colleges and universities, the data of student achievement in the teaching management system of colleges and universities is increasing day by day

  • 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

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Summary

Introduction

With the continuous advancement of information construction[1] in colleges and universities, the data of student achievement in the teaching management system of colleges and universities is increasing day by day These information are input, statistics, query and backup by users, but the value hidden behind the massive data can not be effectively used.it is necessary to process and analyze these data, find useful rules, and provide effective support for teaching arrangement and teaching decision-making. The improved Apriori algorithm is used to mine students' achievement, which can find out the factors that affect students' achievement and the relationship between courses These information can provide supporting suggestions for teaching and management, and provide a favorable teaching basis for making a reasonable talent training plan

The introduction of Apriori algorithm
Conclusion

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