Proceedings of the Safety Management and Science Conference (대한안전경영과학회:학술대회논문집)
- 2006.11a
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- Pages.293-297
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- 2006
Evaluation on Performance for Classification of Students Leaving Their Majors Using Data Mining Technique
데이터마이닝 기법을 이용한 전공이탈자 분류를 위한 성능평가
Abstract
Recently most universities are suffering from students leaving their majors. In order to make a countermeasure for reducing major separation rate, many universities are trying to find a proper solution. As a similar endeavor, this paper uses decision tree algorithm which is one of the data mining techniques which conduct grouping or prediction into several sub-groups from interested groups. This technique can analyze a feature of type on students leaving their majors. The dataset consists of 5,115 features through data selection from total data of 13,346 collected from a university in Kangwon-Do during seven years(2000.3.1