Abstract: Association rules is an important research direction of data mining. Its study is mostly concentrated on improving algorithm efficiency presently, ...

Association Rules is an important research direction of data mining. Its study is mostly concentrated on improving algorithm efficiency.

Historical academic records stored in university's educational administration systems were taken as data source, and interactive visible mining model based ...

It uses an Apriori mining algorithm with some corresponding restrictions to dig out the latent school record association rules from former students' scores ...

This paper puts forward a study early-warning mechanism based on association rules. It uses an Apriori mining algorithm with some corresponding restrictions to ...

It uses an Apriori mining algorithm with some corresponding restrictions to dig out the latent school record association rules from former students' scores ...

May 7, 2024 · In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions.

Our exploration will focus on how these schools that use the early warning indicator data to understand and address student engagement in school can pinpoint ...

The system excavates and analyses the potential connections in the massive data of these campuses, studies the characteristics of students' behavior, analyses ...

Practitioners use EWIMS to identify students who are showing signs of risk, diagnose the reasons for risk, match students to interventions, and monitor student ...