DocumentCode :
2756524
Title :
Non-linear Correlation Techniques in Educational Data Mining
Author :
Liu, Bo ; Zhao, Jian-Hua
Author_Institution :
Sch. of Educ. Inf. Technol., South China Normal Univ., Guangzhou, China
Volume :
2
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
270
Lastpage :
274
Abstract :
There is such an increasing interest in data mining and educational systems currently that has made educational data mining as a new growing research community. This paper explores how to develope new methods for discovering knowledge of data from educational context. The non-linear correlation technology was introduced and applied in the mining process in the whole knowledge achieved. Meanwhile, we have applied these methods in the real course management datasets and found correspondent results for the educators.
Keywords :
courseware; data mining; educational context; educational data mining; nonlinear correlation techniques; real course management datasets; Application software; Association rules; Computer science education; Data mining; Educational technology; Electronic learning; Fuzzy systems; Information technology; Itemsets; Technology management; correlation discoverying; educational data mining; non-linear correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.264
Filename :
5359450
Link To Document :
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