Title :
The analysis of student´s grade based on Rough Sets
Author :
Zhi-min Yan ; Shen, Qing ; Shao, Bin
Author_Institution :
Sch. of Teachers´´ Educ., Huzhou Teachers´´ Coll., Huzhou, China
Abstract :
Considering the data in the current universities grade management is huge and it has not been reasonably analyzed. The student´s grade is analyzed using rough set theory and a data mining algorithm based on rough set is proposed. The experiment shows that the algorithm can analyze the student´s grade effectively. The mining analysis algorithm can be also applied to students information management, higher education evaluation, the student´s grade analysis and the exam system. It supplies guidance for improving the teaching management level.
Keywords :
data mining; educational administrative data processing; educational institutions; information management; rough set theory; data mining; higher education; information management; rough set theory; student grade; teaching management; university; Algorithm design and analysis; Data analysis; Data mining; Education; Educational institutions; Information analysis; Information management; Rough sets; Set theory; Statistical analysis; data mining; grade analysis; rough set;
Conference_Titel :
Ubi-media Computing (U-Media), 2010 3rd IEEE International Conference on
Conference_Location :
Jinhua
Print_ISBN :
978-1-4244-6708-2
DOI :
10.1109/UMEDIA.2010.5544432