An efficient alternative for deletions in dynamic spatial approximation trees

Metric space searching is an emerging technique to address the problem of similarity searching in many applications. In order to efficiently answer similarity queries, the database must be indexed. In some interesting real applications dynamism is an indispensable property of the index. There are v...

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Autores principales: Kasián, Fernando, Ludueña, Verónica, Reyes, Nora Susana, Roggero, Patricia
Formato: Articulo
Lenguaje:Inglés
Publicado: 2014
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/34547
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr14-6.pdf
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id I19-R120-10915-34547
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
multimedia databases
metric spaces
similarity search
indexing
algorithms
spellingShingle Ciencias Informáticas
multimedia databases
metric spaces
similarity search
indexing
algorithms
Kasián, Fernando
Ludueña, Verónica
Reyes, Nora Susana
Roggero, Patricia
An efficient alternative for deletions in dynamic spatial approximation trees
topic_facet Ciencias Informáticas
multimedia databases
metric spaces
similarity search
indexing
algorithms
description Metric space searching is an emerging technique to address the problem of similarity searching in many applications. In order to efficiently answer similarity queries, the database must be indexed. In some interesting real applications dynamism is an indispensable property of the index. There are very few actually dynamic indexes that support not only searches, but also insertions and deletions of elements. The dynamic spatial approximation tree (DSAT) is a data structure specially designed for searching in metric spaces, which compares favorably against other data structures in high dimensional spaces or queries with low selectivity. Insertions are efficient and easily supported in DSAT, but deletions degrade the structure over time. Several methods are proposed to handle deletions over the DSAT. One of them has shown to be superior to the others, in the sense that it permits controlling the expected deletion cost as a proportion of the insertion cost and searches does not overly degrade after several deletions. In this paper we propose and study a new alternative deletion method, based on the better existing strategy. The outcome is a fully dynamic data structure that can be managed through insertions and deletions over arbitrarily long periods of time without any significant reorganization.
format Articulo
Articulo
author Kasián, Fernando
Ludueña, Verónica
Reyes, Nora Susana
Roggero, Patricia
author_facet Kasián, Fernando
Ludueña, Verónica
Reyes, Nora Susana
Roggero, Patricia
author_sort Kasián, Fernando
title An efficient alternative for deletions in dynamic spatial approximation trees
title_short An efficient alternative for deletions in dynamic spatial approximation trees
title_full An efficient alternative for deletions in dynamic spatial approximation trees
title_fullStr An efficient alternative for deletions in dynamic spatial approximation trees
title_full_unstemmed An efficient alternative for deletions in dynamic spatial approximation trees
title_sort efficient alternative for deletions in dynamic spatial approximation trees
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/34547
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr14-6.pdf
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