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
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;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6341891
