A spatio-temporal extension to the map cube operator

OLAP (On Line Analytical Processing) is a set of techniques and operators to facilitate the data analysis usually stored in a data warehouse. In this paper, we extend the functionality of an OLAP operator known as Map Cube with the definition and incorporation of a function that allows the formulati...

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Autores:
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/2324
Acceso en línea:
http://hdl.handle.net/11407/2324
Palabra clave:
Data Warehouse
KML
Map Cube
OLAP operators
trajectory
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restrictedAccess
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http://purl.org/coar/access_right/c_16ec
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spelling 2016-06-23T21:52:10Z2016-06-23T21:52:10Z201297807354109160094243Xhttp://hdl.handle.net/11407/232410.1063/1.4756656OLAP (On Line Analytical Processing) is a set of techniques and operators to facilitate the data analysis usually stored in a data warehouse. In this paper, we extend the functionality of an OLAP operator known as Map Cube with the definition and incorporation of a function that allows the formulation of spatio-temporal queries. For example, consider a data warehouse about crimes that includes data about the places where the crimes were committed. Suppose we want to find and visualize the trajectory (a trajectory is just the path that an object follows through space as a function of time) of the crimes of a suspect beginning with his oldest crime and ending with his most recent one. In order to meet this requirement, we extend the Map Cube operator.enghttp://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4756656AIP Conference Proceedings Volume 1479, Issue 1, 2012, Pages 2310-2314ScopusA spatio-temporal extension to the map cube operatorConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/resource_type/c_c94finfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecUniversidad Nacional de Colombia, Sede Medellín Facultad de Minas, ColombiaUniversidad de Medellín, ColombiaAlzate J.C.Moreno F.J.Echeverri J.Data WarehouseKMLMap CubeOLAP operatorstrajectory11407/2324oai:repository.udem.edu.co:11407/23242020-05-27 17:51:20.519Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv A spatio-temporal extension to the map cube operator
title A spatio-temporal extension to the map cube operator
spellingShingle A spatio-temporal extension to the map cube operator
Data Warehouse
KML
Map Cube
OLAP operators
trajectory
title_short A spatio-temporal extension to the map cube operator
title_full A spatio-temporal extension to the map cube operator
title_fullStr A spatio-temporal extension to the map cube operator
title_full_unstemmed A spatio-temporal extension to the map cube operator
title_sort A spatio-temporal extension to the map cube operator
dc.contributor.affiliation.spa.fl_str_mv Universidad Nacional de Colombia, Sede Medellín Facultad de Minas, Colombia
Universidad de Medellín, Colombia
dc.subject.keyword.eng.fl_str_mv Data Warehouse
KML
Map Cube
OLAP operators
trajectory
topic Data Warehouse
KML
Map Cube
OLAP operators
trajectory
description OLAP (On Line Analytical Processing) is a set of techniques and operators to facilitate the data analysis usually stored in a data warehouse. In this paper, we extend the functionality of an OLAP operator known as Map Cube with the definition and incorporation of a function that allows the formulation of spatio-temporal queries. For example, consider a data warehouse about crimes that includes data about the places where the crimes were committed. Suppose we want to find and visualize the trajectory (a trajectory is just the path that an object follows through space as a function of time) of the crimes of a suspect beginning with his oldest crime and ending with his most recent one. In order to meet this requirement, we extend the Map Cube operator.
publishDate 2012
dc.date.created.none.fl_str_mv 2012
dc.date.accessioned.none.fl_str_mv 2016-06-23T21:52:10Z
dc.date.available.none.fl_str_mv 2016-06-23T21:52:10Z
dc.type.eng.fl_str_mv Conference Paper
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv 9780735410916
dc.identifier.issn.none.fl_str_mv 0094243X
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/2324
dc.identifier.doi.none.fl_str_mv 10.1063/1.4756656
identifier_str_mv 9780735410916
0094243X
10.1063/1.4756656
url http://hdl.handle.net/11407/2324
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4756656
dc.relation.ispartofen.eng.fl_str_mv AIP Conference Proceedings Volume 1479, Issue 1, 2012, Pages 2310-2314
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
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