Cover Image

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...

Full description

Saved in:
Bibliographic Details
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/51759/1/51759_Computing_Range_Skyline_Query_on_Uncertain_Dimension.pdf
http://irep.iium.edu.my/51759/4/51759_Computing%20range%20skyline%20query%20on%20uncertain_scopus.pdf
http://irep.iium.edu.my/51759/
http://link.springer.com/chapter/10.1007%2F978-3-319-44406-2_31
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.51759
record_format dspace
spelling my.iium.irep.517592020-11-02T04:33:36Z 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%20on%20uncertain_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
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
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/51759/1/51759_Computing_Range_Skyline_Query_on_Uncertain_Dimension.pdf
http://irep.iium.edu.my/51759/4/51759_Computing%20range%20skyline%20query%20on%20uncertain_scopus.pdf
http://irep.iium.edu.my/51759/
http://link.springer.com/chapter/10.1007%2F978-3-319-44406-2_31
_version_ 1683230284656410624
score 13.211869

Similar Items