基于数据挖掘的供电公司人力资源需求预测研究  

Research on Human Resource Demand Prediction of Power Supply Companies Based on Data Mining

作　　者：谭强 TAN Qiang(State Grid Meishan Power Supply Company Dongpo District Power Supply Center,Meishan Sichuan 620000,China)

机构地区：[1]国网眉山供电公司东坡区供电中心,四川眉山620000

出　　处：《信息与电脑》2023年第22期175-177,共3页Information & Computer

摘　　要：当前,供电公司人力资源需求预测机制一般设定为独立结构,预测的效率较低,导致预测误差不断增加,为此提出基于数据挖掘的供电公司人力资源需求预测方法。首先,预处理供电公司人力资源需求数据,采用多层级方式,设计多层级人力资源需求交叉预测机制。其次,构建数据挖掘人力资源需求预测模型,采用归一化处理的方式实现需求预测。测试结果表明,提出方法的预测结果更为精准、可靠,误差可控,具有实际的应用价值。The current human resource demand prediction mechanism of the company is generally set as an independent structure,and the prediction efficiency is low,leading to the increasing prediction error.Therefore,a data mining based human resource demand prediction method for power supply companies is proposed.Preprocess human resource demand data for power supply companies,and a multi-level method is adopted human resource demand cross-prediction mechanism is designed.Based on this,the human resource demand prediction model of data mining is constructed,and the normalization method is adopted to realize the demand prediction.The test result shows that the prediction results of the proposed method are more accurate and reliable,with controllable errors,and have practical application value.

关 键 词：数据挖掘 供电公司 人力资源 需求预测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]