• DocumentCode
    3473687
  • Title

    Research on Time Series Model for Human Resource Management Based on Web Technique

  • Author

    Han, Jing ; Ren, Junyi ; Dong, Yanzhi

  • Author_Institution
    Economic & Manage. Inst., YanTai Univ., Yantai
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The data produced from global different branch companies of one enterprise every day can be regarded as time series data. It is important and valuable for managers to make planning, decision, and control based on these time series data. The purpose of this paper is to present an application of Web technology to model analysis of management data in e-business. Firstly, we discussed the data collection and data processing during the data mining. We described and demonstrated the data mining flow for evaluating performance of public service-oriented government in detail. Secondly, we proposed the improved system modeling method to model the data of management. The dynamitic data system theory was discussed simply in the sector. Then the modeling procedure was described by detailing the appropriate steps of modeling algorithm. At last, the conclusions were given. The discussion indicated that the method is appropriate to management in e-business.
  • Keywords
    Internet; data mining; electronic commerce; human resource management; time series; Web technique; Web technology; data collection; data mining; data processing; dynamitic data system theory; e-business; human resource management; management data; model analysis; modeling algorithm; public service-oriented government; system modeling method; time series data; time series model; Companies; Data analysis; Data mining; Data processing; Data systems; Enterprise resource planning; Government; Human resource management; Modeling; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2687
  • Filename
    4680876