Predicting Students' Final Passing Results Using the Classification and Regression Trees (CART) Algorithm

Kasih, Julianti; Ayub, Mewati; Susanto, Sani

dc.contributor.author	Kasih, Julianti
dc.contributor.author	Ayub, Mewati
dc.contributor.author	Susanto, Sani
dc.date.accessioned	2017-04-11T04:18:29Z
dc.date.available	2017-04-11T04:18:29Z
dc.date.issued	2013
dc.identifier.uri	http://hdl.handle.net/123456789/1364
dc.description	WORLD TRANSACTION ON ENGINEERING AND TECHNOLOGY EDUCATION; Vol.11 No.1, 2013
dc.description.abstract	The aim of this research shares that of a previous research programme that involved a lecturer as an academic advisor helping students to predict their final passing results based on their performance in several subjects in early semesters of their study period [1]. Previous research used discriminant analysis, which is considered to be impractical in this instance. In this research, a more practical method is introduced and applied, based upon the classification of functions of data mining. The classification was performed using software based upon the Classification and Regression Trees (CART) algorithm.	en_US
dc.publisher	World Institute for Engineering and Technology Education (WIETE)	en_US
dc.relation.ispartofseries	WORLD TRANSACTION ON ENGINEERING AND TECHNOLOGY EDUCATION; Vol.11 No.1, 2013
dc.title	Predicting Students' Final Passing Results Using the Classification and Regression Trees (CART) Algorithm	en_US
dc.type	Journal Articles	en_US