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dc.date.accessioned 2012-09-19T11:40:44Z
dc.date.available 2012-09-19T11:40:44Z
dc.date.issued 2009
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21147
dc.description.abstract This paper presents a data structure based on Sparse Spatial Selection (SSS) for similarity searching. An algorithm that tries periodically to adjust pivots to the use of database index is presented. This index is dynamic. In this way, it is possible to improve the amount of discriminations done by the pivots. So, the primary objective of indexes is achieved: to reduce the number of distance function evaluations, as it is showed in the experimentation en
dc.format.extent 991-1000 es
dc.language en es
dc.subject Índices es
dc.subject metric databases en
dc.subject Base de Datos es
dc.subject dynamic index en
dc.subject Sparse Spatial Selection en
dc.title Dynamic selection of suitable pivots for similarity search in metric spaces en
dc.type Objeto de conferencia es
sedici.creator.person Deco, Claudia es
sedici.creator.person Salvetti, Mariano es
sedici.creator.person Reyes, Nora Susana es
sedici.creator.person Bender, Cristina es
sedici.description.note VI Workshop Bases de Datos y Minería de Datos (WBD) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2009-10
sedici.relation.event XV Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)