DocumentCode :
2463572
Title :
Knowledge acquisition on selection of humanities and sciences using the decision tree
Author :
Notsuda, Yuta ; Takahashi, Koichi
Author_Institution :
Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
126
Lastpage :
131
Abstract :
This paper describes experimental results of extracting features of students majoring in humanities and sciences, in order to show factors that influence the selection when students select their course, i.e. humanities or sciences. In the research, data are collected through questionnaires to students. The questionnaire includes questions to ask about the lifestyle, and subjects studied in schools. The data are analyzed by using decision trees.
Keywords :
data mining; decision trees; educational administrative data processing; feature extraction; humanities; course selection; data analysis; decision tree; humanities student selection; knowledge acquisition; science student selection; student feature extraction; Conferences; Cybernetics; Decision support systems; data mining; decision tree; major;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377688
Filename :
6377688
Link To Document :
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