基于CART的高校教师亚健康决策模型构建  

Construction of Subhealth Decision Model for College Teachers Based on CART

作　　者：易俗 张一川[2] 殷慧文 YI Su;ZHANG Yichuan;YIN Huiwen(College of Innovation and Entrepreneurship, Liaoning University, Shenyang 110036, China;College of Software, Northeastern University, Shenyang 110819, China)

机构地区：[1]辽宁大学创新创业学院,沈阳110036 [2]东北大学软件学院,沈阳110819

出　　处：《实验室研究与探索》2019年第8期173-178,共6页Research and Exploration In Laboratory

基　　金：国家青年自然科学基金项目(61502090);辽宁省高校健康管理协同创新中心资助项目(LNGJ201701,LNGJ201702);辽宁省教育科学“十三五”规划课题(JG17DB230);辽宁省经济社会发展研究课题(lslktqn-042);沈阳市社科联课题(SYSK2018-04-16)

摘　　要：传统高校教师亚健康评估缺乏时效性、客观性、高效性。利用大数据技术建立了亚健康决策模型,以支持高校教师亚健康状态的评估与预测。首先针对高校教师亚健康影响因素进行多维分析,构建亚健康多维影响概念模型,其次对样本数据特征进行分析及数据预处理,在此基础上,利用CART算法给出亚健康决策模型建模的详细过程。最后,给出基于Spark的并行实现过程及实验验证。高校教师亚健康概念模型客观反映教师亚健康评估因素,决策树模型能够支持高校教师亚健康预测分析,实验验证该模型的有效性、即时性、准确性。The evaluation of subhealth of traditional college teachers is lack of timeliness, objectivity and efficiency. In the big data environment, the subhealth assessment model can be established more effectively by information technology, so as to support the evaluation and prediction of subhealth state of university teachers. Firstly, according to the analysis of multidimensional subhealth impact factors of university teachers, the paper constructs a decision conceptual model of the impact of multidimensional subhealth, followed by the analysis and data processing of the sample data characteristics, based on the detailed process of using CART algorithm. Finally, the parallel implementation process and experimental verification based on Spark are given. The subhealth concept model of university teachers objectively reflects the evaluation factors of subhealth. The decision tree model can support the prediction and analysis of subhealth of university teachers, and experiments verify the validity, immediacy and accuracy of the model.

关 键 词：高校教师 亚健康 分类与回归树算法 大数据 决策树 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]