| C4.5算法在高职学生首次职业类型选择中的应用 |
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| 引用本文： | 王善勤,;王小林,;陈业斌.C4.5算法在高职学生首次职业类型选择中的应用[J].铜仁学院学报,2014(4):87-91. |
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| 作者姓名： | 王善勤 ;王小林 ;陈业斌 |
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| 作者单位： | [1]滁州职业技术学院信息工程系,安徽滁州239000; [2]安徽工业大学计算机学院,安徽马鞍山243032 |
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| 基金项目： | 本文系滁州职业技术学院院级科研基金项目“初探数据挖掘在大学生职业生涯规划中的应用”（YJY-2011-17）,安徽省示范性高职院校（软件技术专业）建设项目（SJ2010003）成果. |
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| 摘 要： | 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。
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| 关 键 词： | 数据挖掘 决策树 C4.5算法 职业类型选择 |
Application of C4.5 Algorithm to the First Vocational Type Selection of Students in Higher Vocational Colleges |
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| Institution: | WANG Shan-qin, WANG Xiao-lin, CHEN Ye-bin ( 1. Department of Information Engineering, Chuzhou Vocational and Technical Institute, Chuzhou, Anhui 239000, China; 2. School of Computer Science, Anhui University of Technology, Ma＇anshan, Anhui 243032, China ) |
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| Abstract: | 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＆#39; 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. |
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| Keywords: | data mining decision tree C4 5 algorithm professional type selection |
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