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General Structural Model and Application of Intelligent Decision Support System Based on Knowledge Discovery

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Applied Computing, Computer Science, and Advanced Communication (FCC 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 34))

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Abstract

This paper mainly discusses the general structure model of IDSSKD (Intelligent Decision Support System Based on Knowledge Discovery) and describes the function of each of its sub-systems. IDSSKD has perfected and extended the function of conventional IDSS, and revised the running mechanism of conventional IDSS. Knowledge acquiring of domain experts, reasoning mechanism, KDD* mining and Web mining are efficiently fused into IDSS. Consequently, IDSSKD is a new type of intelligent decision support system that covers two networks and six bases. Furthermore, it is synthetically integrated, multi-tiered, and model-driven. It is promising that IDSSKD would play an important role in promoting the mainstream development of IDSS and become a new generation of intelligent decision support model.

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Author information

Authors and Affiliations

  1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology Beijing, Beijing, 100083, China

    Faguo G. Zhou & Fan Zhang

  2. School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Bingru R. Yang

Authors
  1. Faguo G. Zhou
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  2. Fan Zhang
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  3. Bingru R. Yang
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Editor information

Editors and Affiliations

  1. Wuhan Institute of Technology, Wuhan Hubei, China

    Luo Qi

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhou, F.G., Zhang, F., Yang, B.R. (2009). General Structural Model and Application of Intelligent Decision Support System Based on Knowledge Discovery. In: Qi, L. (eds) Applied Computing, Computer Science, and Advanced Communication. FCC 2009. Communications in Computer and Information Science, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02342-2_30

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  • DOI: https://doi.org/10.1007/978-3-642-02342-2_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02341-5

  • Online ISBN: 978-3-642-02342-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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