A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA

This paper presents a method to perform a location recommendation based on multiple criteria allowing noised coordinates. More speciï¬ cally, the skyline query is adapted to handle those noises by modeling the errors of georeferenced points with an appropriate probability distribution and modifying...

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Main Authors: Welder Batista de Oliveira, Sávio Salvarino Teles de Oliveira, Vagner José do Sacramento Rodrigues, Helton Saulo Bezerra dos Santos, Kleber Vieira Cardoso
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2018-09-01
Series:Revista Brasileira de Cartografia
Online Access:http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44494
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author Welder Batista de Oliveira
Sávio Salvarino Teles de Oliveira
Vagner José do Sacramento Rodrigues
Helton Saulo Bezerra dos Santos
Kleber Vieira Cardoso
author_facet Welder Batista de Oliveira
Sávio Salvarino Teles de Oliveira
Vagner José do Sacramento Rodrigues
Helton Saulo Bezerra dos Santos
Kleber Vieira Cardoso
author_sort Welder Batista de Oliveira
collection DOAJ
description This paper presents a method to perform a location recommendation based on multiple criteria allowing noised coordinates. More speciï¬ cally, the skyline query is adapted to handle those noises by modeling the errors of georeferenced points with an appropriate probability distribution and modifying the traditional dominance criterion used by that technique. The method is applied to a scenario in which the coordinates are set by a geocoding process in a sample of schools in a speciï¬ c Brazilian city. It enables one to choose the level of conï¬ dence in which a point is removed from the skyline solution (the location recommendation).
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1808-0936
language English
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spelling doaj.art-4eb8d5b0e4384a489cedb3b95ca91a5e2022-12-21T19:56:37ZengUniversidade Federal de UberlândiaRevista Brasileira de Cartografia0560-46131808-09362018-09-01686A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATAWelder Batista de Oliveira0Sávio Salvarino Teles de Oliveira1Vagner José do Sacramento Rodrigues2Helton Saulo Bezerra dos Santos3Kleber Vieira Cardoso4Universidade Federal de Goiás - UFGGEOMAIS Serviços de Informática LTDA - MEGEOMAIS Serviços de Informática LTDA - MEUniversidade Federal de Goiás Universidade Federal de Goiás This paper presents a method to perform a location recommendation based on multiple criteria allowing noised coordinates. More speciï¬ cally, the skyline query is adapted to handle those noises by modeling the errors of georeferenced points with an appropriate probability distribution and modifying the traditional dominance criterion used by that technique. The method is applied to a scenario in which the coordinates are set by a geocoding process in a sample of schools in a speciï¬ c Brazilian city. It enables one to choose the level of conï¬ dence in which a point is removed from the skyline solution (the location recommendation).http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44494
spellingShingle Welder Batista de Oliveira
Sávio Salvarino Teles de Oliveira
Vagner José do Sacramento Rodrigues
Helton Saulo Bezerra dos Santos
Kleber Vieira Cardoso
A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA
Revista Brasileira de Cartografia
title A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA
title_full A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA
title_fullStr A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA
title_full_unstemmed A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA
title_short A METHOD FOR LOCATION RECOMMENDATION VIA SKYLINE QUERY TOLERANT TO NOISED GEOREFERENCED DATA
title_sort method for location recommendation via skyline query tolerant to noised georeferenced data
url http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44494
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