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    • Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web

    Benedikt Kämpgen

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    If numeric data from the Web are brought together, natural scientists can compare climate measurements with estimations, financial analysts can evaluate companies based on balance sheets and daily stock market values, and citizens can explore the GDP per capita from several data sources. However, heterogeneities and size of data remain a problem. This work presents methods to query a uniform view - the Global Cube - of available datasets from the Web and builds on Linked Data query approaches.

    Umfang: XVI, 259 S.

    Preis: €45.00 | £41.00 | $79.00

    Fächer:

    Wirtschaftswissenschaften 

    Schlagwörter:

    Web Optimierung analytischer Datenbankabfragen Datenintegration Linked Data analytical query optimisation data integration Data Cube

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    Empfohlene Zitierweise
    Kämpgen, B. 2015. Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000047013
    Kämpgen, B., 2015. Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000047013
    Kämpgen, B. Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web. KIT Scientific Publishing, 2015. DOI: https://doi.org/10.5445/KSP/1000047013
    Kämpgen, B. (2015). Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000047013
    Kämpgen, Benedikt. 2015. Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000047013



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    Weitere Informationen

    Veröffentlicht am 23. September 2015

    Sprache

    Englisch

    Seitenanzahl:

    288

    ISBN
    Paperback 978-3-7315-0379-8

    DOI
    https://doi.org/10.5445/KSP/1000047013