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Policy by Policy Analytical Approach to Develop GAINS-City Data Marts Based on Regional Federated Data Warehousing Framework

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Advanced Computational Methods for Knowledge Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 282))

Abstract

City-scale data marts are requested to help local policy makers to identify viable and efficient solutions. In this context, the Regional Federated Data warehousing Framework (RFDW), which has been introduced in our previous literatures, is extended and used to develop such city-scale data marts. Afterwards, a case study, namely GAINS-City China, will be presented as a city scale manifested data mart to approve our concepts.

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Authors and Affiliations

  1. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria

    Thanh Binh Nguyen

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  1. Thanh Binh Nguyen
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Correspondence to Thanh Binh Nguyen .

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Editors and Affiliations

  1. Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary

    Tien van Do

  2. Ile du Saulcy, LITA, UFR MIM, Metz, France

    Hoai An Le Thi

  3. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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Nguyen, T.B. (2014). Policy by Policy Analytical Approach to Develop GAINS-City Data Marts Based on Regional Federated Data Warehousing Framework. In: van Do, T., Thi, H., Nguyen, N. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-06569-4_18

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  • DOI: https://doi.org/10.1007/978-3-319-06569-4_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06568-7

  • Online ISBN: 978-3-319-06569-4

  • eBook Packages: EngineeringEngineering (R0)

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