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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Elsevier
2014
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/31737/1/31737.pdf http://psasir.upm.edu.my/id/eprint/31737/ |
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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 |
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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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1643830408939307008 |
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13.251813 |