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Preference evaluation techniques of preference queries in database

Preference queries are considered as a major necessity tool in today’s database management system (DBMS). Adopting preference queries in the database application systems enable users to determine more than one objective in the submitted query which result into more accurate results compared to the t...

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Main Authors: Aljuboori, Ali A.Alwan, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah
Format: Article
Language:English
Published: IJoAT Foundation 2013
Subjects:
ZA4450 Databases
Online Access:http://irep.iium.edu.my/36669/4/The_Published_Version_%28Preference_Evaluation_Techniques_of_Preference_Queries_in_Database%29.pdf
http://irep.iium.edu.my/36669/
http://www.aicit.org/IJACT/ppl/coverpage/IJACT3402764059toc.pdf
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spelling my.iium.irep.366692017-06-13T05:06:53Z http://irep.iium.edu.my/36669/ Preference evaluation techniques of preference queries in database Aljuboori, Ali A.Alwan Ibrahim, Hamidah Udzir, Nur Izura Sidi, Fatimah ZA4450 Databases Preference queries are considered as a major necessity tool in today’s database management system (DBMS). Adopting preference queries in the database application systems enable users to determine more than one objective in the submitted query which result into more accurate results compared to the traditional queries. Preference queries prefer one data item (tuple) p over the other data item (tuple) q if and only if p is better than q in all dimensions (attributes) and not worse than q in at least one dimension (attribute). Several preference evaluation techniques for preference queries have been proposed which aimed at finding the “best” results that meet the user preferences. These include but not limited to top-k, skyline, ranked skylines, k-representative dominance, k-dominance, top-k dominating, and k-frequency. This paper attempts to survey and analyze the following preference evaluation techniques of query processing in database systems: top-k, skyline, top-k dominating, k-dominance, and k-frequency by highlighting the strengths and the weaknesses of each technique. IJoAT Foundation 2013-03-15 Article REM application/pdf en http://irep.iium.edu.my/36669/4/The_Published_Version_%28Preference_Evaluation_Techniques_of_Preference_Queries_in_Database%29.pdf Aljuboori, Ali A.Alwan and Ibrahim, Hamidah and Udzir, Nur Izura and Sidi, Fatimah (2013) Preference evaluation techniques of preference queries in database. International Journal of Advancements in Computing Technology, 5 (5). pp. 756-766. ISSN 2005-8039 http://www.aicit.org/IJACT/ppl/coverpage/IJACT3402764059toc.pdf 10.4156/ijact.vol5.issue5.91
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic ZA4450 Databases
spellingShingle ZA4450 Databases
Aljuboori, Ali A.Alwan
Ibrahim, Hamidah
Udzir, Nur Izura
Sidi, Fatimah
Preference evaluation techniques of preference queries in database
description Preference queries are considered as a major necessity tool in today’s database management system (DBMS). Adopting preference queries in the database application systems enable users to determine more than one objective in the submitted query which result into more accurate results compared to the traditional queries. Preference queries prefer one data item (tuple) p over the other data item (tuple) q if and only if p is better than q in all dimensions (attributes) and not worse than q in at least one dimension (attribute). Several preference evaluation techniques for preference queries have been proposed which aimed at finding the “best” results that meet the user preferences. These include but not limited to top-k, skyline, ranked skylines, k-representative dominance, k-dominance, top-k dominating, and k-frequency. This paper attempts to survey and analyze the following preference evaluation techniques of query processing in database systems: top-k, skyline, top-k dominating, k-dominance, and k-frequency by highlighting the strengths and the weaknesses of each technique.
format Article
author Aljuboori, Ali A.Alwan
Ibrahim, Hamidah
Udzir, Nur Izura
Sidi, Fatimah
author_facet Aljuboori, Ali A.Alwan
Ibrahim, Hamidah
Udzir, Nur Izura
Sidi, Fatimah
author_sort Aljuboori, Ali A.Alwan
title Preference evaluation techniques of preference queries in database
title_short Preference evaluation techniques of preference queries in database
title_full Preference evaluation techniques of preference queries in database
title_fullStr Preference evaluation techniques of preference queries in database
title_full_unstemmed Preference evaluation techniques of preference queries in database
title_sort preference evaluation techniques of preference queries in database
publisher IJoAT Foundation
publishDate 2013
url http://irep.iium.edu.my/36669/4/The_Published_Version_%28Preference_Evaluation_Techniques_of_Preference_Queries_in_Database%29.pdf
http://irep.iium.edu.my/36669/
http://www.aicit.org/IJACT/ppl/coverpage/IJACT3402764059toc.pdf
_version_ 1643611038492393472
score 13.211869

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