【摘要】 随着科技时代的迅猛发展,人力资源和知识资源已成为企业发展的重要组成部分,因此,建立人力资源数据池,并以此为依托进行数据挖掘,从而提取高质量和高数量的信息为管理者决策提供支持是十分必要的。本研究利用"云计算"所具有的超大规模、高可靠性、通用性、高可扩展性等特点,开发人力资源档案信息决策支持系统用于各项管理和决策工作。在分析"云计算"在资源集成和共享等方面优势的基础上,设计了本系统所采用的基础数据采集层、网络服务支持层、云计算支持层、数据标准化转换层、系统应用层、系统服务层、决策支持层等7层架构,探讨了每层结构的特点和功能,并就决策支持系统部分所采用的工作方式、工作模式进行了详细介绍,该系统弥补了传统档案管理所存在的数据资源不足、多数据源的数据无法实现同构和标准化处理等缺陷。更多还原

【Abstract】 With the rapid development of science and technology,human resources and knowledge resources have become an important part of enterprise development.Therefore,it is necessary to establish the human resources data pool and make data mining,so as to extract high quality and high amount of information for managers to make decisions.By analyzing the advantages of cloud computing in resource integration and sharing,we design structures of the basic data acquisition layer,the network service support layer,cloud computing support layer,standardization of data conversion layer,system application layer,the system service layer,and decision support layer.And meanwhile we explore the features and functions of each layer of the structure,and provide details of their working mode.The application of this system has shown that it solves problems in traditional file management,like insufficient data resources as well as unrealized isomorphism and normalization of multiple-resource data.更多还原