CAJ | 학술논문

针对国内高职学生首次职业类型选择状况进行了研究，介绍了数据挖掘、决策树、C4.5算法，对高职学生职业类型选择数据进行预处理，应用 C4.5算法构造高职学生首次职业类型选择决策树并使用事后修剪法对其进行了修剪，从中抽取出高职学生首次职业类型选择与大学阶段习得的德、体、智、能和专五个方面能力之间的潜在规则并对其做了验证分析，挖掘出的规则为高职学生首次职业类型选择进行动态预测并对其就业提供指导。
침대국내고직학생수차직업류형선택상황진행료연구，개소료수거알굴、결책수、C4.5산법，대고직학생직업류형선택수거진행예처리，응용 C4.5산법구조고직학생수차직업류형선택결책수병사용사후수전법대기진행료수전，종중추취출고직학생수차직업류형선택여대학계단습득적덕、체、지、능화전오개방면능력지간적잠재규칙병대기주료험증분석，알굴출적규칙위고직학생수차직업류형선택진행동태예측병대기취업제공지도。
Exploring the first domestic career type choice of higher vocational students, this paper introduces the data mining, decision tree and C4.5 algorithm. Preprocessing students’ vocational type select data in the higher vocations, we use the C4.5 algorithm to form their selection decision tree and clip its using post-pruning method. Then we extract the vocational students' first vocational type selection and the potential rules of moral, physical, intellectual, and designed ability acquired during university to verify the analysis. Explored rules can provide dynamic prediction, reference and guidance for the first type selection of higher vocational students.