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/ http://irep.iium.edu.my/36669/ http://irep.iium.edu.my/36669/ http://irep.iium.edu.my/36669/4/The_Published_Version_%28Preference_Evaluation_Techniques_of_Preference_Queries_in_Database%29.pdf

id	iium-36669
recordtype	eprints
spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/36669/ http://irep.iium.edu.my/36669/ http://irep.iium.edu.my/36669/4/The_Published_Version_%28Preference_Evaluation_Techniques_of_Preference_Queries_in_Database%29.pdf
first_indexed	2023-09-18T20:52:32Z
last_indexed	2023-09-18T20:52:32Z
_version_	1777410090215669760

Preference evaluation techniques of preference queries in database

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