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The Impact of Data Dispersion on the Accuracy of the Data Warehouse Federation’s Response

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11055))

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Abstract

This article is a preliminary attempt to verify how the values of the metrics that characterize data warehouses affect the accuracy of the data warehouse federation’s response. The federation can be build almost always, but sometimes the heterogeneity of data stored in the component data warehouse is too big to properly handle the user’s request. If that happens, the effort put on the integration is a waste. Some work was done, but the federation does not give accurate response. In this paper some dependencies between the accuracy of federation’s response and data warehouse metrics are discussed.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Rafał Kern

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  1. Rafał Kern
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Correspondence to Rafał Kern .

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Kern, R. (2018). The Impact of Data Dispersion on the Accuracy of the Data Warehouse Federation’s Response. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-98443-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98442-1

  • Online ISBN: 978-3-319-98443-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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