ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA

<p><em>        Recently, the development of the query-based preferences has received considerable attention from researchers and data users. One of the most popular preference-based queries is the skyline query, which will give a subset of superior records that are not dominated by any o...

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Main Authors: Bagus Jati Santoso, Tosca Yoel Connery
Format: Article
Language:English
Published: Institut Teknologi Sepuluh Nopember 2019-03-01
Series:JUTI: Jurnal Ilmiah Teknologi Informasi
Online Access:http://juti.if.its.ac.id/index.php/juti/article/view/824
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spelling doaj-0acebc23e25f4e7994134f1a2dcddf712021-05-29T12:50:11ZengInstitut Teknologi Sepuluh NopemberJUTI: Jurnal Ilmiah Teknologi Informasi1412-63892406-85352019-03-01171849310.12962/j24068535.v17i1.a824456ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATABagus Jati Santoso0Tosca Yoel Connery1Department of Informatics, Institut Teknologi Sepuluh NopemberDepartment of Informatics, Institut Teknologi Sepuluh Nopember<p><em>        Recently, the development of the query-based preferences has received considerable attention from researchers and data users. One of the most popular preference-based queries is the skyline query, which will give a subset of superior records that are not dominated by any other records. As the developed version of skyline queries, a reverse skyline query rise. This query aims to get information about the query points that make a data or record as the part of result of their skyline query.</em></p><em>     Furthermore, data-oriented IT development requires scientists to be able to process data in all conditions. In the real world, there exist incomplete multidimensional data, both because of damage, loss, and privacy. In order to increase the usability over a data set, this study will discuss one of the problems in processing reverse skyline queries over incomplete data, namely the "why-not" problem. The considered solution to this "why-not" problem is advice and steps so that a query point that does not initially consider an incomplete data, as a result, can later make the record or incomplete data as part of the results. In this study, there will be further discussion about the dominance relationship between incomplete data along with the solution of the problem. Moreover, some performance evaluations are conducted to measure the level of efficiency and effectiveness.</em>http://juti.if.its.ac.id/index.php/juti/article/view/824
collection DOAJ
language English
format Article
sources DOAJ
author Bagus Jati Santoso
Tosca Yoel Connery
spellingShingle Bagus Jati Santoso
Tosca Yoel Connery
ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA
JUTI: Jurnal Ilmiah Teknologi Informasi
author_facet Bagus Jati Santoso
Tosca Yoel Connery
author_sort Bagus Jati Santoso
title ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA
title_short ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA
title_full ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA
title_fullStr ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA
title_full_unstemmed ANSWERING WHY-NOT QUESTIONS ON REVERSE SKYLINE QUERIES OVER INCOMPLETE DATA
title_sort answering why-not questions on reverse skyline queries over incomplete data
publisher Institut Teknologi Sepuluh Nopember
series JUTI: Jurnal Ilmiah Teknologi Informasi
issn 1412-6389
2406-8535
publishDate 2019-03-01
description <p><em>        Recently, the development of the query-based preferences has received considerable attention from researchers and data users. One of the most popular preference-based queries is the skyline query, which will give a subset of superior records that are not dominated by any other records. As the developed version of skyline queries, a reverse skyline query rise. This query aims to get information about the query points that make a data or record as the part of result of their skyline query.</em></p><em>     Furthermore, data-oriented IT development requires scientists to be able to process data in all conditions. In the real world, there exist incomplete multidimensional data, both because of damage, loss, and privacy. In order to increase the usability over a data set, this study will discuss one of the problems in processing reverse skyline queries over incomplete data, namely the "why-not" problem. The considered solution to this "why-not" problem is advice and steps so that a query point that does not initially consider an incomplete data, as a result, can later make the record or incomplete data as part of the results. In this study, there will be further discussion about the dominance relationship between incomplete data along with the solution of the problem. Moreover, some performance evaluations are conducted to measure the level of efficiency and effectiveness.</em>
url http://juti.if.its.ac.id/index.php/juti/article/view/824
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