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A framework for evaluating skyline query over uncertain autonomous databases


Mohd Saad, Nurul Husna and Ibrahim, Hamidah and Alwan, Ali Amer and Sidi, Fatimah and Yaakob, Razali (2014) A framework for evaluating skyline query over uncertain autonomous databases. Procedia Computer Science, 29. pp. 1546-1556. ISSN 1877-0509


The perception of skyline query is to find a set of objects that is much preferred in all dimensions. While this theory is easily applicable on certain and complete database, however, when it comes to data integration of databases where each has different representation of data in a same dimension, it would be difficult to determine the dominance relation between the underlying data. In this paper, we propose a framework, SkyQUD, to efficiently compute the skyline probability of datasets in uncertain dimensions. We explore the effects of having datasets with uncertain dimensions in relation to the dominance relation theory and propose a framework that is able to support skyline queries on this type of datasets.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1016/j.procs.2014.05.140
Publisher: Elsevier
Keywords: Autonomous database; Data management; Probabilistic skyline queries; Uncertain dimensions
Depositing User: Mohd Noor Ismail
Date Deposited: 03 May 2016 04:59
Last Modified: 03 May 2016 05:16
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.procs.2014.05.140
URI: http://psasir.upm.edu.my/id/eprint/42915
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