基于数据挖掘的人力资源最优结构建模设计

发布时间：2018-05-05 14:20

本文选题：数据挖掘 + 人力资源　；参考：《现代电子技术》2017年24期

【摘要】：为了优化人力资源管理,提高人力资源管理过程中的信息匹配能力,从而促进人力资源建设及人力资源管理信息库的完善,提出基于数据挖掘的人力资源最优结构建模设计方法。采用信息提取方法进行人力资源管理的信息资源调度和特征提取,结合规范化正则迁移模型进行人力资源管理中人员和岗位的信息配准,进行人力资源优化调度设计,采用自相关组成成分挖掘方法进行人力资源信息挖掘,实现人力资源信息管理的优化建模。实验结果表明,采用该方法进行人力资源最优结构建模,提高了人力资源调度分配的配准性和时效性,具有较好的人力资源信息管理能力。
[Abstract]:In order to optimize the management of human resources and improve the ability of information matching in the process of human resource management, so as to promote the construction of human resources and the perfection of information base of human resource management, A method of human resource optimal structure modeling and design based on data mining is proposed. The information resource scheduling and feature extraction of human resources management are carried out by using information extraction method, and the information registration of personnel and posts in human resources management is carried out by combining the normalized regular migration model, and the optimal scheduling design of human resources is carried out. The method of auto-correlation component mining is used for human resource information mining, and the optimal modeling of human resource information management is realized. The experimental results show that this method is used to model the optimal structure of human resources, which improves the registration and timeliness of human resource scheduling and allocation, and has a better ability of human resource information management.
【作者单位】：成都理工大学管理科学学院;
【基金】：四川省哲学社会科学重点研究基地/四川省教育厅人文社科重点研究基地“川菜发展研究中心科研项目”(CC15G03)
【分类号】：F272.92;TP311.13

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