DocumentCode :
145712
Title :
Decision tree based students´ grades analysis
Author :
Mujkic, Admir ; Boban, Ivan ; Dugandzic, Ivan ; Bijedic, Nina
Author_Institution :
Fac. of Inf. Technol., Univ. "Dzemal Bijedic", Mostar, Bosnia-Herzegovina
fYear :
2014
fDate :
23-25 Jan. 2014
Firstpage :
133
Lastpage :
136
Abstract :
A decision tree is a technique of modeling algorithm for solving classification and prediction problems. The data collected on students and their proficiency as input parameters for the study classifies and predicts outcome for students who will take the exams in the future. The study establishes a correlation between cases as a relationship or correlation between different phenomena represented by values of two variables. Decision tree as a model for classification is presented in the case of predicting the outcome of exams.
Keywords :
decision trees; educational administrative data processing; pattern classification; decision tree; student grade analysis; student outcome classification; student outcome prediction; student proficiency; Blood pressure; Correlation; Data mining; Decision trees; Information technology; Input variables; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4799-3441-6
Type :
conf
DOI :
10.1109/SAMI.2014.6822392
Filename :
6822392
Link To Document :
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