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Authordc.contributor.authorGonzález González, Rodrigo 
Authordc.contributor.authorNavarro, Gonzalo es_CL
Admission datedc.date.accessioned2014-03-18T20:21:05Z
Available datedc.date.available2014-03-18T20:21:05Z
Publication datedc.date.issued2007
Cita de ítemdc.identifier.citationEn: Combinatorial Pattern Matching 18th Annual Symposium, CPM 2007, London, Canada, July 9-11, 2007. Proceedings. pp. 216-227en_US
Identifierdc.identifier.other10.1007/978-3-540-73437-6_23
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/120331
Abstractdc.description.abstractCompressed text (self-)indexes have matured up to a point where they can replace a text by a data structure that requires less space and, in addition to giving access to arbitrary text passages, support indexed text searches. At this point those indexes are competitive with traditional text indexes (which are very large) for counting the number of occurrences of a pattern in the text. Yet, they are still hundreds to thousands of times slower when it comes to locating those occurrences in the text. In this paper we introduce a new compression scheme for suffix arrays which permits locating the occurrences extremely fast, while still being much smaller than classical indexes. In addition, our index permits a very efficient secondary memory implementation, where compression permits reducing the amount of I/O needed to answer queries.en_US
Patrocinadordc.description.sponsorshipMecesup Grant UCH 0109, Chileen_US
Lenguagedc.language.isoenen_US
Publisherdc.publisherSpringer Berlin Heidelbergen_US
Seriedc.relation.ispartofseriesLecture Notes in Computer Science;Volume 4580, 2007;
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Títulodc.titleCompressed Text Indexes with Fast Locateen_US
Document typedc.typeCapítulo de libro


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile