Computing Hierarchical Skyline Queries "On-the-fly" in a Data Warehouse

Tassadit Bouadi 1, 2 Marie-Odile Cordier 2 René Quiniou 2
2 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : Skyline queries represent a powerful tool for multidimensional data analysis and for decision aid. When the dimensions are conflicting, skyline queries return the best compromises associated with these dimensions. Many studies have focused on the extraction of skyline points in the context of multidimensional databases, but, to the best of our knowledge, none of them have investigated skyline queries, when data are structured along multiple and hierarchical dimensions. This article proposes a new method that extends skyline queries to multiple hier- archical dimensions. Our proposal, HSky (Hierarchical Skyline Queries) allows the user to navigate along the dimensions hierarchies (i.e. specialize / generalize) while ensuring an efficient online calculation of the associated skyline.
Type de document :
Communication dans un congrès
DAWAK 2014 - 16th International Conference on Data Warehousing and Knowledge Discovery, Sep 2014, Munich, Germany. Springer Verlag, 2014, LNCS
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https://hal.inria.fr/hal-01052864
Contributeur : René Quiniou <>
Soumis le : mardi 29 juillet 2014 - 09:22:33
Dernière modification le : jeudi 9 février 2017 - 16:05:24

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  • HAL Id : hal-01052864, version 1

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Tassadit Bouadi, Marie-Odile Cordier, René Quiniou. Computing Hierarchical Skyline Queries "On-the-fly" in a Data Warehouse. DAWAK 2014 - 16th International Conference on Data Warehousing and Knowledge Discovery, Sep 2014, Munich, Germany. Springer Verlag, 2014, LNCS. <hal-01052864>

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