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First-Half Index Base for Querying Data Cube

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Intelligent Systems and Applications (IntelliSys 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 868))

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Abstract

Given a relational fact table R, we call a base of data cubes on R a structure that allows to query the data cubes with any aggregate function. This work presents a compact base of data cubes, called the first-half index base, with its implementation, and the method for querying the data cubes using this base. Through experiments on real datasets, we show how the first-half index base resolves efficiently the main data cube issues, i.e., the storage space and the query response time.

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Author information

Authors and Affiliations

  1. Aix-Marseille Univ, Université de Toulon, CNRS, LIS, Equipe BDA, Marseille, France

    Viet Phan-Luong

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  1. Viet Phan-Luong
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Correspondence to Viet Phan-Luong .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Phan-Luong, V. (2019). First-Half Index Base for Querying Data Cube. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_78

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