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A framework for evaluating skyline query over uncertain autonomous databases

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,...

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Main Authors: Mohd Saad, Nurul Husna, Ibrahim, Hamidah, Alwan, Ali Amer, Sidi, Fatimah, Yaakob, Razali
Format: Conference or Workshop Item
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/31737/1/31737.pdf
http://psasir.upm.edu.my/id/eprint/31737/
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id my.upm.eprints.31737
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spelling my.upm.eprints.317372016-03-29T08:22:07Z http://psasir.upm.edu.my/id/eprint/31737/ A framework for evaluating skyline query over uncertain autonomous databases Mohd Saad, Nurul Husna Ibrahim, Hamidah Alwan, Ali Amer Sidi, Fatimah Yaakob, Razali 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. Elsevier 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/31737/1/31737.pdf 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. In: 14th International Conference on Computational Science (ICCS 2014), 10-12 June 2014, Cairns, Australia. (pp. 1546-1556). 10.1016/j.procs.2014.05.140
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Conference or Workshop Item
author Mohd Saad, Nurul Husna
Ibrahim, Hamidah
Alwan, Ali Amer
Sidi, Fatimah
Yaakob, Razali
spellingShingle Mohd Saad, Nurul Husna
Ibrahim, Hamidah
Alwan, Ali Amer
Sidi, Fatimah
Yaakob, Razali
A framework for evaluating skyline query over uncertain autonomous databases
author_facet Mohd Saad, Nurul Husna
Ibrahim, Hamidah
Alwan, Ali Amer
Sidi, Fatimah
Yaakob, Razali
author_sort Mohd Saad, Nurul Husna
title A framework for evaluating skyline query over uncertain autonomous databases
title_short A framework for evaluating skyline query over uncertain autonomous databases
title_full A framework for evaluating skyline query over uncertain autonomous databases
title_fullStr A framework for evaluating skyline query over uncertain autonomous databases
title_full_unstemmed A framework for evaluating skyline query over uncertain autonomous databases
title_sort framework for evaluating skyline query over uncertain autonomous databases
publisher Elsevier
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/31737/1/31737.pdf
http://psasir.upm.edu.my/id/eprint/31737/
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score 13.250246

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