A framework for identifying skylines over incomplete data
Skyline queries provide a flexible query operator that returns data items (skylines) which are not being dominated by other data items in all dimensions (attributes) of the database. Most of the existing skyline techniques determine the skylines by assuming that the values of dimensions for every da...
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| Format: | Proceeding Paper |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2014
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| Online Access: | http://irep.iium.edu.my/58541/ http://irep.iium.edu.my/58541/1/58541_A%20framework%20for%20identifying%20skylines_complete.pdf http://irep.iium.edu.my/58541/2/58541_A%20framework%20for%20identifying%20skylines_scopus.pdf |
| _version_ | 1848785132742246400 |
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| author | Aljuboori, Ali A. Alwan Ibrahim, Hamidah Udzir, Nur Izura |
| author_facet | Aljuboori, Ali A. Alwan Ibrahim, Hamidah Udzir, Nur Izura |
| author_sort | Aljuboori, Ali A. Alwan |
| building | IIUM Repository |
| collection | Online Access |
| description | Skyline queries provide a flexible query operator that returns data items (skylines) which are not being dominated by other data items in all dimensions (attributes) of the database. Most of the existing skyline techniques determine the skylines by assuming that the values of dimensions for every data item are available (complete). However, this assumption is not always true particularly for multidimensional database as some values may be missing. The incompleteness of data leads to the loss of the transitivity property of skyline technique and results into failure in test dominance as some data items are incomparable to each other. Furthermore, incompleteness of data influences negatively on the process of finding skylines, leading to high overhead, due to exhaustive pair wise comparisons between the data items. This paper proposed a framework to process skyline queries for incomplete data with the aim of avoiding the issue of cyclic dominance in deriving skylines. The proposed framework for identifying skylines for incomplete data consists of four components, namely: Data Clustering Builder, Group Constructor and Local Skylines Identifier, k-dom Skyline Generator, and Incomplete Skylines Identifier. Including these processes in the proposed framework has optimized the process of identifying skylines in incomplete database by reducing the necessary number of pair wise comparison through eliminating the dominated data items as early as possible before applying the skyline technique. |
| first_indexed | 2025-11-14T16:48:17Z |
| format | Proceeding Paper |
| id | iium-58541 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:48:17Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-585412017-09-26T08:08:17Z http://irep.iium.edu.my/58541/ A framework for identifying skylines over incomplete data Aljuboori, Ali A. Alwan Ibrahim, Hamidah Udzir, Nur Izura QA Mathematics QA75 Electronic computers. Computer science T Technology (General) Skyline queries provide a flexible query operator that returns data items (skylines) which are not being dominated by other data items in all dimensions (attributes) of the database. Most of the existing skyline techniques determine the skylines by assuming that the values of dimensions for every data item are available (complete). However, this assumption is not always true particularly for multidimensional database as some values may be missing. The incompleteness of data leads to the loss of the transitivity property of skyline technique and results into failure in test dominance as some data items are incomparable to each other. Furthermore, incompleteness of data influences negatively on the process of finding skylines, leading to high overhead, due to exhaustive pair wise comparisons between the data items. This paper proposed a framework to process skyline queries for incomplete data with the aim of avoiding the issue of cyclic dominance in deriving skylines. The proposed framework for identifying skylines for incomplete data consists of four components, namely: Data Clustering Builder, Group Constructor and Local Skylines Identifier, k-dom Skyline Generator, and Incomplete Skylines Identifier. Including these processes in the proposed framework has optimized the process of identifying skylines in incomplete database by reducing the necessary number of pair wise comparison through eliminating the dominated data items as early as possible before applying the skyline technique. Institute of Electrical and Electronics Engineers Inc. 2014-04-01 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/58541/1/58541_A%20framework%20for%20identifying%20skylines_complete.pdf application/pdf en http://irep.iium.edu.my/58541/2/58541_A%20framework%20for%20identifying%20skylines_scopus.pdf Aljuboori, Ali A. Alwan and Ibrahim, Hamidah and Udzir, Nur Izura (2014) A framework for identifying skylines over incomplete data. In: 3rd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2014, 29-30 December 2014, Amman; Jordan. http://ieeexplore.ieee.org/document/7076873/ 10.1109/ACSAT.2014.21 |
| spellingShingle | QA Mathematics QA75 Electronic computers. Computer science T Technology (General) Aljuboori, Ali A. Alwan Ibrahim, Hamidah Udzir, Nur Izura A framework for identifying skylines over incomplete data |
| title | A framework for identifying skylines over incomplete data |
| title_full | A framework for identifying skylines over incomplete data |
| title_fullStr | A framework for identifying skylines over incomplete data |
| title_full_unstemmed | A framework for identifying skylines over incomplete data |
| title_short | A framework for identifying skylines over incomplete data |
| title_sort | framework for identifying skylines over incomplete data |
| topic | QA Mathematics QA75 Electronic computers. Computer science T Technology (General) |
| url | http://irep.iium.edu.my/58541/ http://irep.iium.edu.my/58541/ http://irep.iium.edu.my/58541/ http://irep.iium.edu.my/58541/1/58541_A%20framework%20for%20identifying%20skylines_complete.pdf http://irep.iium.edu.my/58541/2/58541_A%20framework%20for%20identifying%20skylines_scopus.pdf |