Missing values estimation for skylines in incomplete database

Incompleteness of data is a common problem in many databases including web heterogeneous databases, multi-relational databases, spatial and temporal databases and data integration. The incompleteness of data introduces challenges in processing queries as providing accurate results that best meet the...

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Main Authors:	Aljuboori, Ali A.Alwan, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah
Format:	Article
Language:	English English English
Published:	Zarqa University, Jordan 2018
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/47989/ http://irep.iium.edu.my/47989/ http://irep.iium.edu.my/47989/1/47989_Missing%20values%20estimation%20for%20skylines.pdf http://irep.iium.edu.my/47989/2/47989_Missing%20values%20estimation%20for%20skylines_SCOPUS.pdf http://irep.iium.edu.my/47989/3/47989_Missing%20values%20estimation%20for%20skylines_WOS.pdf

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recordtype	eprints
spelling	iium-479892018-05-25T02:08:07Z http://irep.iium.edu.my/47989/ Missing values estimation for skylines in incomplete database Aljuboori, Ali A.Alwan Ibrahim, Hamidah Udzir, Nur Izura Sidi, Fatimah QA76 Computer software Incompleteness of data is a common problem in many databases including web heterogeneous databases, multi-relational databases, spatial and temporal databases and data integration. The incompleteness of data introduces challenges in processing queries as providing accurate results that best meet the query conditions over incomplete database is not a trivial task. Several techniques have been proposed to process queries in incomplete database. Some of these techniques retrieve the query results based on the existing values rather than estimating the missing values. Such techniques are undesirable in many cases as the dimensions with missing values might be the important dimensions of the user’s query. Besides, the output is incomplete and might not satisfy the user preferences. In this paper we propose an approach that estimates missing values in skylines to guide users in selecting the most appropriate skylines from the several candidate skylines. The approach utilizes the concept of mining attribute correlations to generate an Approximate Functional Dependencies (AFDs) that captured the relationships between the dimensions. Besides, identifying the strength of probability correlations to estimate the values. Then, the skylines with estimated values are ranked. By doing so, we ensure that the retrieved skylines are in the order of their estimated precision. Zarqa University, Jordan 2018-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/47989/1/47989_Missing%20values%20estimation%20for%20skylines.pdf application/pdf en http://irep.iium.edu.my/47989/2/47989_Missing%20values%20estimation%20for%20skylines_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/47989/3/47989_Missing%20values%20estimation%20for%20skylines_WOS.pdf Aljuboori, Ali A.Alwan and Ibrahim, Hamidah and Udzir, Nur Izura and Sidi, Fatimah (2018) Missing values estimation for skylines in incomplete database. The International Arab Journal of Information Technology, 15 (1). pp. 66-75. ISSN 1683-3198 http://iajit.org/PDF/January%202018,%20No.%201/11178.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Aljuboori, Ali A.Alwan Ibrahim, Hamidah Udzir, Nur Izura Sidi, Fatimah Missing values estimation for skylines in incomplete database
description	Incompleteness of data is a common problem in many databases including web heterogeneous databases, multi-relational databases, spatial and temporal databases and data integration. The incompleteness of data introduces challenges in processing queries as providing accurate results that best meet the query conditions over incomplete database is not a trivial task. Several techniques have been proposed to process queries in incomplete database. Some of these techniques retrieve the query results based on the existing values rather than estimating the missing values. Such techniques are undesirable in many cases as the dimensions with missing values might be the important dimensions of the user’s query. Besides, the output is incomplete and might not satisfy the user preferences. In this paper we propose an approach that estimates missing values in skylines to guide users in selecting the most appropriate skylines from the several candidate skylines. The approach utilizes the concept of mining attribute correlations to generate an Approximate Functional Dependencies (AFDs) that captured the relationships between the dimensions. Besides, identifying the strength of probability correlations to estimate the values. Then, the skylines with estimated values are ranked. By doing so, we ensure that the retrieved skylines are in the order of their estimated precision.
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	Missing values estimation for skylines in incomplete database
title_short	Missing values estimation for skylines in incomplete database
title_full	Missing values estimation for skylines in incomplete database
title_fullStr	Missing values estimation for skylines in incomplete database
title_full_unstemmed	Missing values estimation for skylines in incomplete database
title_sort	missing values estimation for skylines in incomplete database
publisher	Zarqa University, Jordan
publishDate	2018
url	http://irep.iium.edu.my/47989/ http://irep.iium.edu.my/47989/ http://irep.iium.edu.my/47989/1/47989_Missing%20values%20estimation%20for%20skylines.pdf http://irep.iium.edu.my/47989/2/47989_Missing%20values%20estimation%20for%20skylines_SCOPUS.pdf http://irep.iium.edu.my/47989/3/47989_Missing%20values%20estimation%20for%20skylines_WOS.pdf
first_indexed	2023-09-18T21:08:12Z
last_indexed	2023-09-18T21:08:12Z
_version_	1777411075353870336

Missing values estimation for skylines in incomplete database

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