DocumentCode
1987952
Title
Rough Sets for Mining Educational Data
Author
Johnson, Julia Ann ; Johnson, Genevieve Marie ; Cavanagh, Robert F.
Author_Institution
Comput. Sci., Univ. of the Laurentian, Sudbury, ON, Canada
fYear
2012
fDate
27-30 May 2012
Firstpage
1
Lastpage
4
Abstract
While educational data are typically analyzed with statistical software, data mining techniques are increasingly appropriate in revealing complex relationships among multiple variables in large amounts of data. We experimented with the rough set method in conjunction with statistical analysis to identify patterns in, and thereby extract meaning from, complex educational data. Results establish the benefits of combining rough set decision making with stochastic analysis in mining exceedingly complex and difficult to interpret educational data sets.
Keywords
computer aided instruction; data mining; educational administrative data processing; statistical analysis; stochastic processes; educational data mining; rough set decision making; rough set method; statistical analysis; statistical software; Data mining; Educational institutions; Prediction algorithms; Regression analysis; Rough sets; Warehousing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location
Xian
Print_ISBN
978-1-4577-1965-3
Type
conf
DOI
10.1109/SCET.2012.6341891
Filename
6341891
Link To Document