BuST-Bundled Suffix Trees

Autores
Bortolussi, Luca; Fabris, Franceso; Policriti, Alberto
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We introduce a data structure, the Bundled Suffix Tree (BuST), that is a generalization of a Suffix Tree (ST). To build a BuST we use an alphabet Σ together with a non-transitive relation ≈ among its letters. Following the path of a substring β within a BuST, constructed over a text α of length n, not only the positions of the exact occurrences of β in α are found (as in a ST), but also the positions of all the substrings β 1 , β 2 , β 3 , . . . that are related with β via the relation ≈ among the characters of Σ , for example strings at a certain ”distance” from β . A BuST contains O(n1+δ ) additional nodes (δ < 1) in probability, and is constructed in O(n1+δ ) steps. In the worst case it contains O(n2) nodes.
4th IFIP International Conference on Theoretical Computer Science
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
data structure
linear time
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24377

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network_name_str SEDICI (UNLP)
spelling BuST-Bundled Suffix TreesBortolussi, LucaFabris, FrancesoPolicriti, AlbertoCiencias Informáticasdata structurelinear timeWe introduce a data structure, the Bundled Suffix Tree (BuST), that is a generalization of a Suffix Tree (ST). To build a BuST we use an alphabet Σ together with a non-transitive relation ≈ among its letters. Following the path of a substring β within a BuST, constructed over a text α of length n, not only the positions of the exact occurrences of β in α are found (as in a ST), but also the positions of all the substrings β<sub> 1</sub> , β <sub>2</sub> , β<sub> 3</sub> , . . . that are related with β via the relation ≈ among the characters of Σ , for example strings at a certain ”distance” from β . A BuST contains O(n<sup>1+δ</sup> ) additional nodes (δ < 1) in probability, and is constructed in O(n<sup>1+δ</sup> ) steps. In the worst case it contains O(n<sup>2</sup>) nodes.4th IFIP International Conference on Theoretical Computer ScienceRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24377enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34633-3info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:50Zoai:sedici.unlp.edu.ar:10915/24377Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:50.371SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv BuST-Bundled Suffix Trees
title BuST-Bundled Suffix Trees
spellingShingle BuST-Bundled Suffix Trees
Bortolussi, Luca
Ciencias Informáticas
data structure
linear time
title_short BuST-Bundled Suffix Trees
title_full BuST-Bundled Suffix Trees
title_fullStr BuST-Bundled Suffix Trees
title_full_unstemmed BuST-Bundled Suffix Trees
title_sort BuST-Bundled Suffix Trees
dc.creator.none.fl_str_mv Bortolussi, Luca
Fabris, Franceso
Policriti, Alberto
author Bortolussi, Luca
author_facet Bortolussi, Luca
Fabris, Franceso
Policriti, Alberto
author_role author
author2 Fabris, Franceso
Policriti, Alberto
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
data structure
linear time
topic Ciencias Informáticas
data structure
linear time
dc.description.none.fl_txt_mv We introduce a data structure, the Bundled Suffix Tree (BuST), that is a generalization of a Suffix Tree (ST). To build a BuST we use an alphabet Σ together with a non-transitive relation ≈ among its letters. Following the path of a substring β within a BuST, constructed over a text α of length n, not only the positions of the exact occurrences of β in α are found (as in a ST), but also the positions of all the substrings β<sub> 1</sub> , β <sub>2</sub> , β<sub> 3</sub> , . . . that are related with β via the relation ≈ among the characters of Σ , for example strings at a certain ”distance” from β . A BuST contains O(n<sup>1+δ</sup> ) additional nodes (δ < 1) in probability, and is constructed in O(n<sup>1+δ</sup> ) steps. In the worst case it contains O(n<sup>2</sup>) nodes.
4th IFIP International Conference on Theoretical Computer Science
Red de Universidades con Carreras en Informática (RedUNCI)
description We introduce a data structure, the Bundled Suffix Tree (BuST), that is a generalization of a Suffix Tree (ST). To build a BuST we use an alphabet Σ together with a non-transitive relation ≈ among its letters. Following the path of a substring β within a BuST, constructed over a text α of length n, not only the positions of the exact occurrences of β in α are found (as in a ST), but also the positions of all the substrings β<sub> 1</sub> , β <sub>2</sub> , β<sub> 3</sub> , . . . that are related with β via the relation ≈ among the characters of Σ , for example strings at a certain ”distance” from β . A BuST contains O(n<sup>1+δ</sup> ) additional nodes (δ < 1) in probability, and is constructed in O(n<sup>1+δ</sup> ) steps. In the worst case it contains O(n<sup>2</sup>) nodes.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
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dc.language.none.fl_str_mv eng
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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