Title :
The application of data association mining technology in university curriculum management
Author :
Shi, Feng ; Miao, Qi ; Mei, Di
Author_Institution :
Acad. Affair Office, Shenyang Aerosp. Univ., Shenyang, China
Abstract :
At present, data mining technology have a wide range of applications in business, finance and so on now, but less application in the field of education. In this paper through the analysis on the application of association rules in College curriculum setting in data mining technology, think that data mining can help teaching staff to arrange courses reasonable, scientific guidance for teaching and learning, on improving the teaching management of the school plays an important role.
Keywords :
data mining; educational administrative data processing; further education; teaching; college curriculum; course arrangement; data association mining technology; learning; scientific guidance; teaching management; teaching staff; university curriculum management; Robots; Algorithm; Association Rules; College Curriculum Settings; Data Mining;
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
DOI :
10.1109/ISRA.2012.6219239