A performance evaluation of preference evaluation techniques in real high dimensional database

Preference query has received high interest due to its great benefits over various types of database applications. This type of query provides more flexible query operator s that retrieve data items which are not dominated by the other data items in all attributes (dimensions). Many preference tech...

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Main Authors:	Aljuboori, Ali A.Alwan, Ibrahim, Hamidah, Tan, Chik Yip, Udzir, Nur Izura, Sidi, Fatimah
Format:	Article
Language:	English
Published:	Elsevier Ltd. 2012
Subjects:	ZA4450 Databases
Online Access:	http://irep.iium.edu.my/36738/ http://irep.iium.edu.my/36738/ http://irep.iium.edu.my/36738/ http://irep.iium.edu.my/36738/1/A_Perfromance_Evaluation_of_Preference_Evaluation_Techniques_in_Real_High_Dimenstional_Database.pdf

id	iium-36738
recordtype	eprints
spelling	iium-367382016-10-20T04:32:40Z http://irep.iium.edu.my/36738/ A performance evaluation of preference evaluation techniques in real high dimensional database Aljuboori, Ali A.Alwan Ibrahim, Hamidah Tan, Chik Yip Udzir, Nur Izura Sidi, Fatimah ZA4450 Databases Preference query has received high interest due to its great benefits over various types of database applications. This type of query provides more flexible query operator s that retrieve data items which are not dominated by the other data items in all attributes (dimensions). Many preference techniques for preference queries have been introduced including top-k, skyline, multi-objective skyline, top-k dominating, k-dominance, ranked skyline, and k-frequency. All of these preference techniques aimed at finding the “best” result that meets the user preferences. This paper aims at evaluating the performance of the five well-known preference evaluation techniques, namely: top-k , skyline, top-k dominating, k-dominance and k-frequency; in a real database application when high number of dimensions is the main concern. To achieve this, a recipe searching application with maximum number of 60 dimensions has been developed which assists users to identify the most desired recipes that fulfill their preferences. Several analyses have been carried out, where execution time is the main measurement used to evaluate each preference technique. Elsevier Ltd. 2012-08-27 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36738/1/A_Perfromance_Evaluation_of_Preference_Evaluation_Techniques_in_Real_High_Dimenstional_Database.pdf Aljuboori, Ali A.Alwan and Ibrahim, Hamidah and Tan, Chik Yip and Udzir, Nur Izura and Sidi, Fatimah (2012) A performance evaluation of preference evaluation techniques in real high dimensional database. Procedia Computer Science, 10. pp. 894-901. ISSN 1877-0509 http://www.sciencedirect.com/science/article/pii/S1877050912004759# 10.1016/j.procs.2012.06.118
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 Tan, Chik Yip Udzir, Nur Izura Sidi, Fatimah A performance evaluation of preference evaluation techniques in real high dimensional database
description	Preference query has received high interest due to its great benefits over various types of database applications. This type of query provides more flexible query operator s that retrieve data items which are not dominated by the other data items in all attributes (dimensions). Many preference techniques for preference queries have been introduced including top-k, skyline, multi-objective skyline, top-k dominating, k-dominance, ranked skyline, and k-frequency. All of these preference techniques aimed at finding the “best” result that meets the user preferences. This paper aims at evaluating the performance of the five well-known preference evaluation techniques, namely: top-k , skyline, top-k dominating, k-dominance and k-frequency; in a real database application when high number of dimensions is the main concern. To achieve this, a recipe searching application with maximum number of 60 dimensions has been developed which assists users to identify the most desired recipes that fulfill their preferences. Several analyses have been carried out, where execution time is the main measurement used to evaluate each preference technique.
format	Article
author	Aljuboori, Ali A.Alwan Ibrahim, Hamidah Tan, Chik Yip Udzir, Nur Izura Sidi, Fatimah
author_facet	Aljuboori, Ali A.Alwan Ibrahim, Hamidah Tan, Chik Yip Udzir, Nur Izura Sidi, Fatimah
author_sort	Aljuboori, Ali A.Alwan
title	A performance evaluation of preference evaluation techniques in real high dimensional database
title_short	A performance evaluation of preference evaluation techniques in real high dimensional database
title_full	A performance evaluation of preference evaluation techniques in real high dimensional database
title_fullStr	A performance evaluation of preference evaluation techniques in real high dimensional database
title_full_unstemmed	A performance evaluation of preference evaluation techniques in real high dimensional database
title_sort	performance evaluation of preference evaluation techniques in real high dimensional database
publisher	Elsevier Ltd.
publishDate	2012
url	http://irep.iium.edu.my/36738/ http://irep.iium.edu.my/36738/ http://irep.iium.edu.my/36738/ http://irep.iium.edu.my/36738/1/A_Perfromance_Evaluation_of_Preference_Evaluation_Techniques_in_Real_High_Dimenstional_Database.pdf
first_indexed	2023-09-18T20:52:41Z
last_indexed	2023-09-18T20:52:41Z
_version_	1777410098925142016

A performance evaluation of preference evaluation techniques in real high dimensional database

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