Metric-temporal access methods
- Autores
- De Battista, Anabella; Herrera, Norma Edith; Gutiérrez Retamal, Gilberto A.; Pascal, Andrés
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- 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.
Facultad de Informática - Materia
-
Ciencias Informáticas
Metrics
Base de Datos - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9669
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Metric-temporal access methodsDe Battista, AnabellaHerrera, Norma EdithGutiérrez Retamal, Gilberto A.Pascal, AndrésCiencias InformáticasMetricsBase de DatosMetric-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.Facultad de Informática2010-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf54-60http://sedici.unlp.edu.ar/handle/10915/9669enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jun10-2.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:23:35Zoai:sedici.unlp.edu.ar:10915/9669Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:23:35.596SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Metric-temporal access methods |
| title |
Metric-temporal access methods |
| spellingShingle |
Metric-temporal access methods De Battista, Anabella Ciencias Informáticas Metrics Base de Datos |
| 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 Herrera, Norma Edith Gutiérrez Retamal, Gilberto A. Pascal, Andrés |
| author |
De Battista, Anabella |
| author_facet |
De Battista, Anabella Herrera, Norma Edith Gutiérrez Retamal, Gilberto A. Pascal, Andrés |
| author_role |
author |
| author2 |
Herrera, Norma Edith Gutiérrez Retamal, Gilberto A. Pascal, Andrés |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Metrics Base de Datos |
| topic |
Ciencias Informáticas Metrics Base de Datos |
| 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. Facultad de Informática |
| 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 |
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2010-06 |
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eng |
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eng |
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