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The Study of Data Governance for Telecom Network Management

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Human Centered Computing (HCC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8944))

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Abstract

Data is an important asset of telecom operators, and data governance is an important method for telecom operators to manage data. This paper studies the characteristics of BSS and OSS data telecom operators, and proposes the architecture of data fusion platform and data hierarchical model. The basic method of BSS and OSS data fusion is then presented, and the wide table technology is adopted to organize and unify data model layer in order to realize the construction of the confusion application supporting cross-domain data fusion.

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Author information

Authors and Affiliations

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Yi Man, Junmei Zhao & Mo Chen

  2. China Mobile Research Institute, Beijing, 100053, China

    Hong Yuan

  3. Potevio Institute of Technology Co., Ltd, Beijing, 100080, China

    Yihai Xing

Authors
  1. Yi Man
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  2. Junmei Zhao
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  3. Mo Chen
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  4. Hong Yuan
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  5. Yihai Xing
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Corresponding author

Correspondence to Yi Man .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Wuhan, China

    Qiaohong Zu

  2. Fujitsu Laboratories of Europe, Middlesex, United Kingdom

    Bo Hu

  3. Fudan University, Shanghai, China

    Ning Gu

  4. Telecommunications and Information Communication Technology, National Institute of Posts, Phnom Penh, Cambodia

    Sopheap Seng

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© 2015 Springer International Publishing Switzerland

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Man, Y., Zhao, J., Chen, M., Yuan, H., Xing, Y. (2015). The Study of Data Governance for Telecom Network Management. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_71

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  • DOI: https://doi.org/10.1007/978-3-319-15554-8_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15553-1

  • Online ISBN: 978-3-319-15554-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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