Metric-temporal access methods

Autores
De Battista, Anabella Cecilia; Pascal, Andrés Jorge; Herrera, Norma Edith; Gutierrez, Gilberto
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type of queries. This index store a list of valid snapshots where each one contains an Fixed Height Queries Tree that indexes all objects existing at that instant. In this paper we present an improvement to this access method that consists in using different sets of pivots for the Fixed Height Queries Tree that correspond to consecutive time instants. The experimental results show this modification improves the filtering capacity of the index.
Fil: De Battista, Anabella Cecilia. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina.
Fil: Pascal, Andrés Jorge. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina.
Fil: Herrera, Norma Edith. Universidad Nacional de San Luis. Departamento de Informática; Argentina.
Fil: Gutiérrez, Gilberto. Universidad del Bio-Bio. Facultad de Ciencias Empresariales; Chile.
Peer Reviewed
Materia
Metric spaces
Temporal databases
Indexes
Metric-temporal databases
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/861
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Metric-temporal access methodsDe Battista, Anabella CeciliaPascal, Andrés JorgeHerrera, Norma EdithGutierrez, GilbertoMetric spacesTemporal databasesIndexesMetric-temporal databasesMetric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type of queries. This index store a list of valid snapshots where each one contains an Fixed Height Queries Tree that indexes all objects existing at that instant. In this paper we present an improvement to this access method that consists in using different sets of pivots for the Fixed Height Queries Tree that correspond to consecutive time instants. The experimental results show this modification improves the filtering capacity of the index.Fil: De Battista, Anabella Cecilia. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina.Fil: Pascal, Andrés Jorge. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina.Fil: Herrera, Norma Edith. Universidad Nacional de San Luis. Departamento de Informática; Argentina.Fil: Gutiérrez, Gilberto. Universidad del Bio-Bio. Facultad de Ciencias Empresariales; Chile.Peer Reviewed2016-07-04T21:06:58Z2016-07-04T21:06:58Z2010-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfJournal of Computer Science & Technology. 10 ( 2): 54-60 (2010)1666-6038http://hdl.handle.net/20.500.12272/861engR. Baeza-Yates, W. Cunto, U. Manber, and S. Wu. Proximity matching using fixed-queries trees. In Proc. 5th Combinatorial Pattern Matching (CPM’94), LNCS 807, pages 198–212, 1994.S. Brin. Near neighbor search in large metric spaces. In Proc. 21st Conference on Very Large Databases (VLDB’95), pages 574–584, 1995.B. Bustos, G. Navarro, and E. Ch{avez. Pivot selection techniques for proximity searching in metric spaces. In Proc. of the XXI Conference of the Chilean Computer Science Society (SCCC’01), pages 33–40. IEEE CS Press, 2001.E. Chávez and K. Figueroa. Faster proximity searching in metric data. In Proceedings of MICAI 2004. LNCS 2972, Springer, Cd. de México, México, 2004.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/De Battista, Anabella C. ; Pacal, Andrés Jorge ; Herrera, Norma Edith; Gutiérrez, Gilberto.No comercial con fines académicos.Attribution-NonCommercial-NoDerivs 3.0 United Statesreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2025-09-29T14:29:38Zoai:ria.utn.edu.ar:20.500.12272/861instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-29 14:29:39.039Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Metric-temporal access methods
title Metric-temporal access methods
spellingShingle Metric-temporal access methods
De Battista, Anabella Cecilia
Metric spaces
Temporal databases
Indexes
Metric-temporal databases
title_short Metric-temporal access methods
title_full Metric-temporal access methods
title_fullStr Metric-temporal access methods
title_full_unstemmed Metric-temporal access methods
title_sort Metric-temporal access methods
dc.creator.none.fl_str_mv De Battista, Anabella Cecilia
Pascal, Andrés Jorge
Herrera, Norma Edith
Gutierrez, Gilberto
author De Battista, Anabella Cecilia
author_facet De Battista, Anabella Cecilia
Pascal, Andrés Jorge
Herrera, Norma Edith
Gutierrez, Gilberto
author_role author
author2 Pascal, Andrés Jorge
Herrera, Norma Edith
Gutierrez, Gilberto
author2_role author
author
author
dc.subject.none.fl_str_mv Metric spaces
Temporal databases
Indexes
Metric-temporal databases
topic Metric spaces
Temporal databases
Indexes
Metric-temporal databases
dc.description.none.fl_txt_mv Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type of queries. This index store a list of valid snapshots where each one contains an Fixed Height Queries Tree that indexes all objects existing at that instant. In this paper we present an improvement to this access method that consists in using different sets of pivots for the Fixed Height Queries Tree that correspond to consecutive time instants. The experimental results show this modification improves the filtering capacity of the index.
Fil: De Battista, Anabella Cecilia. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina.
Fil: Pascal, Andrés Jorge. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina.
Fil: Herrera, Norma Edith. Universidad Nacional de San Luis. Departamento de Informática; Argentina.
Fil: Gutiérrez, Gilberto. Universidad del Bio-Bio. Facultad de Ciencias Empresariales; Chile.
Peer Reviewed
description Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type of queries. This index store a list of valid snapshots where each one contains an Fixed Height Queries Tree that indexes all objects existing at that instant. In this paper we present an improvement to this access method that consists in using different sets of pivots for the Fixed Height Queries Tree that correspond to consecutive time instants. The experimental results show this modification improves the filtering capacity of the index.
publishDate 2010
dc.date.none.fl_str_mv 2010-06
2016-07-04T21:06:58Z
2016-07-04T21:06:58Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv Journal of Computer Science & Technology. 10 ( 2): 54-60 (2010)
1666-6038
http://hdl.handle.net/20.500.12272/861
identifier_str_mv Journal of Computer Science & Technology. 10 ( 2): 54-60 (2010)
1666-6038
url http://hdl.handle.net/20.500.12272/861
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv R. Baeza-Yates, W. Cunto, U. Manber, and S. Wu. Proximity matching using fixed-queries trees. In Proc. 5th Combinatorial Pattern Matching (CPM’94), LNCS 807, pages 198–212, 1994.
S. Brin. Near neighbor search in large metric spaces. In Proc. 21st Conference on Very Large Databases (VLDB’95), pages 574–584, 1995.
B. Bustos, G. Navarro, and E. Ch{avez. Pivot selection techniques for proximity searching in metric spaces. In Proc. of the XXI Conference of the Chilean Computer Science Society (SCCC’01), pages 33–40. IEEE CS Press, 2001.
E. Chávez and K. Figueroa. Faster proximity searching in metric data. In Proceedings of MICAI 2004. LNCS 2972, Springer, Cd. de México, México, 2004.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
De Battista, Anabella C. ; Pacal, Andrés Jorge ; Herrera, Norma Edith; Gutiérrez, Gilberto.
No comercial con fines académicos.
Attribution-NonCommercial-NoDerivs 3.0 United States
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/us/
De Battista, Anabella C. ; Pacal, Andrés Jorge ; Herrera, Norma Edith; Gutiérrez, Gilberto.
No comercial con fines académicos.
Attribution-NonCommercial-NoDerivs 3.0 United States
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 12.559606

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