Academic literature on the topic 'String matching algorithms'

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Dissertations / Theses on the topic "String matching algorithms"

1

Cheng, Lok-lam, and 鄭樂霖. "Approximate string matching in DNA sequences." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29350591.

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黎少斌 and Shiao-bun Lai. "Trading off time for space for the string matching problem." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31214216.

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Lai, Shiao-bun. "Trading off time for space for the string matching problem /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18061795.

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4

Pockrandt, Christopher Maximilian [Verfasser]. "Approximate String Matching : Improving Data Structures and Algorithms / Christopher Maximilian Pockrandt." Berlin : Freie Universität Berlin, 2019. http://d-nb.info/1183675879/34.

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Klaib, Ahmad. "Exact string matching algorithms for searching DNA and protein sequences and searching chemical databases." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/24266/.

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The enormous quantities of biological and chemical files and databases are likely to grow year on year, consequently giving rise to the need to develop string-matching algorithms capable of minimizing the searching response time. Being aware of this need, this thesis aims to develop string matching algorithms to search biological sequences and chemical structures by studying exact string matching algorithms in detail. As a result, this research developed a new classification of string matching algorithms containing eight categories according to the pre-processing function of algorithms and pro
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Ãvila, Ricardo Lima Feitosa. "Emprego de tÃcnicas de prÃ-processamento textual e algoritmos de comparaÃÃo como suporte à correÃÃo de questÃes dissertativas: experimentos, anÃlises e contribuiÃÃes." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=10572.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>Esta dissertaÃÃo apresenta um estudo de tÃcnicas que podem ser empregadas como apoio para a correÃÃo de questÃes dissertativas com base na adaptaÃÃo de algoritmos de comparaÃÃo textual combinados a tÃcnicas de prÃ-processamento de textos. O principal desafio na concepÃÃo de uma ferramenta para este tipo de aplicaÃÃo à a ambiguidade da linguagem natural. Para analisar situaÃÃes de correÃÃo de questÃes subjetivas, foram efetuados testes com esses algoritmos, tendo-se desenvolvido uma ferramenta para tal propÃsito. Confrontando respos
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Toth, Róbert. "Přibližné vyhledávání řetězců v předzpracovaných dokumentech." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236122.

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This thesis deals with the problem of approximate string matching, also called string matching allowing errors. The thesis targets the area of offline algorithms, which allows very fast pattern matching thanks to index created during initial text preprocessing phase. Initially, we will define the problem itself and demonstrate variety of its applications, followed by short survey of different approaches to cope with this problem. Several existing algorithms based on suffix trees will be explained in detail and new hybrid algorithm will be proposed. Algorithms wil be implemented in C programmin
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Neto, Domingos Soares. "Filtros para a busca e extração de padrões aproximados em cadeias biológicas." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19102009-002745/.

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Esta dissertação de mestrado aborda formulações computacionais e algoritmos para a busca e extração de padrões em cadeias biológicas. Em particular, o presente texto concentra-se nos dois problemas a seguir, considerando-os sob as distâncias de Hamming e Levenshtein: a) como determinar os locais nos quais um dado padrão ocorre de modo aproximado em uma cadeia fornecida; b) como extrair padrões que ocorram de modo aproximado em um número significativo de cadeias de um conjunto fornecido. O primeiro problema, para o qual já existem diversos algoritmos polinomiais, tem recebido muita atenção desd
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Dubois, Simon. "Offline Approximate String Matching forInformation Retrieval : An experiment on technical documentation." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-22566.

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Approximate string matching consists in identifying strings as similar even ifthere is a number of mismatch between them. This technique is one of thesolutions to reduce the exact matching strictness in data comparison. In manycases it is useful to identify stream variation (e.g. audio) or word declension (e.g.prefix, suffix, plural). Approximate string matching can be used to score terms in InformationRetrieval (IR) systems. The benefit is to return results even if query terms doesnot exactly match indexed terms. However, as approximate string matchingalgorithms only consider characters (nor
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Frey, Jeffrey Daniel. "Finding Song Melody Similarities Using a DNA String Matching Algorithm." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1208961242.

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