杨夏薇

摘  要： 针对传统人力资源决策技术对海量人力资源数据辨别能力不高，导致决策效果不佳，研究基于Hadoop大数据平台的人力资源决策技术。该技术对海量的企业人力资源数据进行分布式处理，将神经网络下的员工信息按照输入层、隐含层、输出层进行组别划分;根据影响每一数据组数据变化的影响因素建立初选数据集合;通过计算人力资源的熵值离散度设立决策指标，以员工的姓名、部门、历史业绩、往期工作效率等要素作为选择条件;采用决策树分类算法构建决策树，生成人力资源决策分析报表，以此实现人力资源决策技术。实验结果表明：所研究的人力资源决策技术面对海量的人力资源数据，其辨识能力更强，决策结果的完整度达到了98.35%，比传统决策技术高出了21.55%。由此可见，所研究的决策技术性能更优越、更能满足企业当前的发展需求。

关键词： 人力资源决策技术; Hadoop平台; 数据挖掘; 分布式处理; 决策指标设立; 决策树构建

中图分类号： TN911?34; TP311                    文獻标识码： A                     文章编号： 1004?373X（2020）03?0183?04

Research on human resource decision?making technology based on Hadoop platform

YANG Xiawei

（Zhixing College of Hubei University， Wuhan 430011， China）

Abstract： The traditional human resource decision?making technology has poor resolving ability on massive human resource data， resulting in unsatisfactory decision?making effect. Therefore， the human resource decision?making technology based on Hadoop platform is studied. As far as the technology is concerned， the massive enterprise human resource data is subject to distributed processing， and the employee information in the neural network is divided into groups according to the input layer， the hidden layer and the output layer. A primary data set is created according to the factors affecting the data change of each data group. The decision?making indicators are set up based on the calculation of entropy dispersion of human resources. The employees′ names， departments， historical performances and previous work efficiencies are taken as the selection conditions， and the decision tree classification algorithm is adopted to build the decision tree and generate the human resource decision analysis report， thus realizing the human resource decision?making technology. The experimental results show that the resolving ability of the studied human resource decision?making technology is more powerful in the processing of massive human resource data， and the integrity of decision?making results reaches 98.35%， which is 21.55% higher than the traditional decision?making technology. It can be seen that the decision?making performance of the technology is better and can further meet the current development needs of enterprises.

Keywords： human resource decision?making technology; Hadoop platform; data mining; distributed processing; decision?making index creation; decision tree establishment

0  引  言

人力资源管理是企事业单位中的主要组成部分，对企业的业务往来、前景发展起到重要的影响。为了顺应当前的企业经济结构的變化和发展趋势，提高企业的工作效率和经济效益，国家各行各业都将大数据技术应用到人力资源管理决策中，通过运用大数据平台中的软件系统、框架，实现更加全面化、系统化、效率化和现实化的决策技术，以此提高企事业单位的核心竞争力，满足企业长远发展的目标[1]。……