Computing range skyline query on uncertain dimension

A user sometimes prefers to not be restricted when querying for information. Querying information within a range of search often provides a different perspective to user as opposed to a rigid search. To compute skyline within a given range would be easy on traditional dataset. The challenge is when...

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Main Authors:	Mohd Saad, Nurul Husna, Ibrahim, Hamidah, Sidi, Fatimah, Yaakob, Razali, Alwan Aljuboori, Ali Amer
Format:	Book Chapter
Language:	English English
Published:	Springer International Publishing 2016
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/51759/ http://irep.iium.edu.my/51759/ http://irep.iium.edu.my/51759/ http://irep.iium.edu.my/51759/1/51759_Computing_Range_Skyline_Query_on_Uncertain_Dimension.pdf http://irep.iium.edu.my/51759/4/51759_Computing%20range%20skyline%20query_SCOPUS.pdf

id	iium-51759
recordtype	eprints
spelling	iium-517592017-10-22T09:27:33Z http://irep.iium.edu.my/51759/ Computing range skyline query on uncertain dimension Mohd Saad, Nurul Husna Ibrahim, Hamidah Sidi, Fatimah Yaakob, Razali Alwan Aljuboori, Ali Amer QA76 Computer software A user sometimes prefers to not be restricted when querying for information. Querying information within a range of search often provides a different perspective to user as opposed to a rigid search. To compute skyline within a given range would be easy on traditional dataset. The challenge is when the dataset being queried consists of both atomic values as well as continuous range of values. For a set of objects with uncertain dimension, a skyline with a range query ½qj : qj� on that uncertain dimension returns objects which are not dominated by any other objects in the range query. A method is proposed to determine objects and answer skyline query that satisfy the range query. The correctness of the method is proven through comparisons between two naïve methods that strictly reject and loosely accept objects that intersect with the range query. Springer International Publishing 2016-08-06 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/51759/1/51759_Computing_Range_Skyline_Query_on_Uncertain_Dimension.pdf application/pdf en http://irep.iium.edu.my/51759/4/51759_Computing%20range%20skyline%20query_SCOPUS.pdf Mohd Saad, Nurul Husna and Ibrahim, Hamidah and Sidi, Fatimah and Yaakob, Razali and Alwan Aljuboori, Ali Amer (2016) Computing range skyline query on uncertain dimension. In: Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II. Lecture Notes in Computer Science, 9828 (9828). Springer International Publishing, Switzerland, pp. 377-388. ISBN 978-3-319-44405-5 http://link.springer.com/chapter/10.1007%2F978-3-319-44406-2_31 10.1007/978-3-319-44406-2_31
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohd Saad, Nurul Husna Ibrahim, Hamidah Sidi, Fatimah Yaakob, Razali Alwan Aljuboori, Ali Amer Computing range skyline query on uncertain dimension
description	A user sometimes prefers to not be restricted when querying for information. Querying information within a range of search often provides a different perspective to user as opposed to a rigid search. To compute skyline within a given range would be easy on traditional dataset. The challenge is when the dataset being queried consists of both atomic values as well as continuous range of values. For a set of objects with uncertain dimension, a skyline with a range query ½qj : qj� on that uncertain dimension returns objects which are not dominated by any other objects in the range query. A method is proposed to determine objects and answer skyline query that satisfy the range query. The correctness of the method is proven through comparisons between two naïve methods that strictly reject and loosely accept objects that intersect with the range query.
format	Book Chapter
author	Mohd Saad, Nurul Husna Ibrahim, Hamidah Sidi, Fatimah Yaakob, Razali Alwan Aljuboori, Ali Amer
author_facet	Mohd Saad, Nurul Husna Ibrahim, Hamidah Sidi, Fatimah Yaakob, Razali Alwan Aljuboori, Ali Amer
author_sort	Mohd Saad, Nurul Husna
title	Computing range skyline query on uncertain dimension
title_short	Computing range skyline query on uncertain dimension
title_full	Computing range skyline query on uncertain dimension
title_fullStr	Computing range skyline query on uncertain dimension
title_full_unstemmed	Computing range skyline query on uncertain dimension
title_sort	computing range skyline query on uncertain dimension
publisher	Springer International Publishing
publishDate	2016
url	http://irep.iium.edu.my/51759/ http://irep.iium.edu.my/51759/ http://irep.iium.edu.my/51759/ http://irep.iium.edu.my/51759/1/51759_Computing_Range_Skyline_Query_on_Uncertain_Dimension.pdf http://irep.iium.edu.my/51759/4/51759_Computing%20range%20skyline%20query_SCOPUS.pdf
first_indexed	2023-09-18T21:13:22Z
last_indexed	2023-09-18T21:13:22Z
_version_	1777411400458567680

Computing range skyline query on uncertain dimension

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