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dc.contributor.authorPuglisi, Simon
dc.contributor.authorSmyth, William
dc.contributor.authorTurpin, A.
dc.date.accessioned2017-01-30T11:58:17Z
dc.date.available2017-01-30T11:58:17Z
dc.date.created2009-03-05T00:54:17Z
dc.date.issued2007
dc.identifier.citationPuglisi, Simon and Smyth, William and Turpin, Andrew. 2007. A taxonomy of suffix array construction algorithms. ACM Computing Surveys. 39 (2): pp. 1-31.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/16863
dc.description.abstract

In 1990, Manber and Myers proposed suffix arrays as a space-saving alternative to suffix trees and described the first algorithms for suffix array construction and use. Since that time, and especially in the last few years, suffix array construction algorithms have proliferated in bewildering abundance. This survey paper attempts to provide simple high-level descriptions of these numerous algorithms that highlight both their distinctive features and their commonalities, while avoiding as much as possible the complexities of implementation details. New hybrid algorithms are also described. We provide comparisons of the algorithms' worst-case time complexity and use of additional space, together with results of recent experimental test runs on many of their implementations.

dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urihttp://doi.acm.org/10.1145/1242471.1242472
dc.titleA taxonomy of suffix array construction algorithms
dc.typeJournal Article
dcterms.source.volume39
dcterms.source.number2
dcterms.source.startPage1
dcterms.source.endPage31
dcterms.source.issn03600300
dcterms.source.titleACM Computing Surveys
curtin.note

ACM Copyright notice: Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org

curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultyDigital Ecosystems and Business Intelligence (DEBI) Institute


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