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Aggregated Framework of Enterprise Information System Based on Synergic Theory

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Web Information Systems – WISE 2006 Workshops (WISE 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4256))

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Abstract

Based on synergic theory and integrated method, this paper aims to find out the proper solution for the aggregated information systems in manufacture enterprises. It puts forward the integration framework of information system according to synergic theory, which is based on the technology of Data Mining and Web Services. And it includes 2 parts: the inner synergic framework such as EIP, and the outer one such as E-Commerce platform. The whole framework enhances the efficiency of communication and information transfer in (an) enterprise. Meanwhile, it also ensures that enterprise will be value-added by means of improving the performance of information collection and transference in the sectors of supply chain.

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Author information

Authors and Affiliations

  1. Information Management School, Wuhan University, Wuhan, 430072

    Li Gang & Wei Quan

Authors
  1. Li Gang
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  2. Wei Quan
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science & Technology, Tsinghua University, Beijing, China

    Ling Feng

  2. Northeastern University,, 110004, Shenyang Liaoning, China

    Guoren Wang

  3. State Key Lab of Software Engineering, Wuhan University, 430072, Wuhan, P.R. China

    Cheng Zeng

  4. School of Information Management, Wuhan University, 430072, Wuhan, China

    Ruhua Huang

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© 2006 Springer-Verlag Berlin Heidelberg

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Gang, L., Quan, W. (2006). Aggregated Framework of Enterprise Information System Based on Synergic Theory. In: Feng, L., Wang, G., Zeng, C., Huang, R. (eds) Web Information Systems – WISE 2006 Workshops. WISE 2006. Lecture Notes in Computer Science, vol 4256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11906070_21

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  • DOI: https://doi.org/10.1007/11906070_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47663-4

  • Online ISBN: 978-3-540-47664-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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