Title :
Study and analysis of data mining technology in college courses students failed
Author_Institution :
Guilin Univ. of Electron. & Technol., Guilin, China
Abstract :
This article based on the basic situation of college students´ current performance management and elective guidance, introduce the knowledge of data mining, and select the association rules mining algorithm using in the analysis of students failed courses. Find the Associated factors affecting students achievement factors, and provide decision support information for educators. So promote to carry out the intervention scientifically, and improve education quality and the scientific level of University Students work.
Keywords :
data mining; educational courses; further education; association rules mining algorithm; college courses students; data mining technology; decision support information; education quality; failed course analysis; student achievement factors; university students work; Data Mining; Decision; Score; college; course;
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
DOI :
10.1109/ICISS.2010.5657100
