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You searched for subject:(Levenshtein Algorithm). Showing records 1 – 7 of 7 total matches.

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University of Georgia

1. Johnson, Bernadette Elaine. Using the Levenshtein algorithm for automatic lemmatization in Old English.

Degree: MA, English, 2009, University of Georgia

 This study was undertaken to develop and test an automatic lemmatization program for the Old English language utilizing the Levenshtein edit distance algorithm, stemming, and… (more)

Subjects/Keywords: Levenshtein Algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Johnson, B. E. (2009). Using the Levenshtein algorithm for automatic lemmatization in Old English. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/johnson_bernadette_e_200905_ma

Chicago Manual of Style (16th Edition):

Johnson, Bernadette Elaine. “Using the Levenshtein algorithm for automatic lemmatization in Old English.” 2009. Masters Thesis, University of Georgia. Accessed August 11, 2020. http://purl.galileo.usg.edu/uga_etd/johnson_bernadette_e_200905_ma.

MLA Handbook (7th Edition):

Johnson, Bernadette Elaine. “Using the Levenshtein algorithm for automatic lemmatization in Old English.” 2009. Web. 11 Aug 2020.

Vancouver:

Johnson BE. Using the Levenshtein algorithm for automatic lemmatization in Old English. [Internet] [Masters thesis]. University of Georgia; 2009. [cited 2020 Aug 11]. Available from: http://purl.galileo.usg.edu/uga_etd/johnson_bernadette_e_200905_ma.

Council of Science Editors:

Johnson BE. Using the Levenshtein algorithm for automatic lemmatization in Old English. [Masters Thesis]. University of Georgia; 2009. Available from: http://purl.galileo.usg.edu/uga_etd/johnson_bernadette_e_200905_ma


Anna University

2. Senthilkumar P. Detection and removal of redundant And illegitimate data in data Repository an empirical analysis;.

Degree: Detection and removal of redundant And illegitimate data in data Repository an empirical analysis, 2015, Anna University

Data cleansing is described as the sum of operations executed on newlineexisting data to eliminate anomalies and obtain a data collection being a newlineprecise and… (more)

Subjects/Keywords: Data cleansing; Levenshtein; Rabin s fingerprinting algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

P, S. (2015). Detection and removal of redundant And illegitimate data in data Repository an empirical analysis;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38989

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

P, Senthilkumar. “Detection and removal of redundant And illegitimate data in data Repository an empirical analysis;.” 2015. Thesis, Anna University. Accessed August 11, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/38989.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

P, Senthilkumar. “Detection and removal of redundant And illegitimate data in data Repository an empirical analysis;.” 2015. Web. 11 Aug 2020.

Vancouver:

P S. Detection and removal of redundant And illegitimate data in data Repository an empirical analysis;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 11]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38989.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

P S. Detection and removal of redundant And illegitimate data in data Repository an empirical analysis;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38989

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Nairobi

3. Jonah, Kenei, K. Bio-sequence search engine based on damerau levenshtein distance algorithm .

Degree: 2011, University of Nairobi

Subjects/Keywords: Bio-sequence; search engine; damerau levenshtein; algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jonah, Kenei, K. (2011). Bio-sequence search engine based on damerau levenshtein distance algorithm . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/12998

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jonah, Kenei, K. “Bio-sequence search engine based on damerau levenshtein distance algorithm .” 2011. Thesis, University of Nairobi. Accessed August 11, 2020. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/12998.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jonah, Kenei, K. “Bio-sequence search engine based on damerau levenshtein distance algorithm .” 2011. Web. 11 Aug 2020.

Vancouver:

Jonah, Kenei K. Bio-sequence search engine based on damerau levenshtein distance algorithm . [Internet] [Thesis]. University of Nairobi; 2011. [cited 2020 Aug 11]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/12998.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jonah, Kenei K. Bio-sequence search engine based on damerau levenshtein distance algorithm . [Thesis]. University of Nairobi; 2011. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/12998

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Krpec, Ondřej. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.

Degree: 2020, Brno University of Technology

 The main goal of this thesis is to develop a system for detecting plagiarism in sets of student assignments written in PHP language. Plagiarism is… (more)

Subjects/Keywords: Plagiátorství; PHP; Plagiát; Odhalování plagiátů; Halsteadova metrika; Levenshteinův algoritmus; Winnowing; Plagiarism; PHP; Plagiarism detection; Halstead metric; Levenshtein algorithm; Winnowing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krpec, O. (2020). Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krpec, Ondřej. “Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.” 2020. Thesis, Brno University of Technology. Accessed August 11, 2020. http://hdl.handle.net/11012/189511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krpec, Ondřej. “Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.” 2020. Web. 11 Aug 2020.

Vancouver:

Krpec O. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/11012/189511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krpec O. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Krpec, Ondřej. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.

Degree: 2018, Brno University of Technology

 The main goal of this thesis is to develop a system for detecting plagiarism in sets of student assignments written in PHP language. Plagiarism is… (more)

Subjects/Keywords: Plagiátorství; PHP; Plagiát; Odhalování plagiátů; Halsteadova metrika; Levenshteinův algoritmus; Winnowing; Plagiarism; PHP; Plagiarism detection; Halstead metric; Levenshtein algorithm; Winnowing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krpec, O. (2018). Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52524

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krpec, Ondřej. “Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.” 2018. Thesis, Brno University of Technology. Accessed August 11, 2020. http://hdl.handle.net/11012/52524.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krpec, Ondřej. “Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.” 2018. Web. 11 Aug 2020.

Vancouver:

Krpec O. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/11012/52524.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krpec O. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/52524

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Krpec, Ondřej. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.

Degree: 2020, Brno University of Technology

 The main goal of this thesis is to develop a system for detecting plagiarism in sets of student assignments written in PHP language. Plagiarism is… (more)

Subjects/Keywords: Plagiátorství; PHP; Plagiát; Odhalování plagiátů; Halsteadova metrika; Levenshteinův algoritmus; Winnowing; Plagiarism; PHP; Plagiarism detection; Halstead metric; Levenshtein algorithm; Winnowing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krpec, O. (2020). Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188419

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krpec, Ondřej. “Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.” 2020. Thesis, Brno University of Technology. Accessed August 11, 2020. http://hdl.handle.net/11012/188419.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krpec, Ondřej. “Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code.” 2020. Web. 11 Aug 2020.

Vancouver:

Krpec O. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/11012/188419.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krpec O. Rozpoznání plagiátů zdrojového kódu v jazyce PHP: Plagiarism Recognizer in PHP Source Code. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188419

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

7. Nosek, Ondřej. Hardwarová akcelerace algoritmu pro hledání podobnosti dvou DNA řetězců: Hardware Acceleration of Algorithms for Approximate String Matching.

Degree: 2019, Brno University of Technology

 Methods for aproximate string matching of various sequences used in bioinformatics are crucial part of development in this branch. Tasks are of very large time… (more)

Subjects/Keywords: DNA řetězec; RNA; proteinový řetězec; nukleotid; aminokyselina; kodón; triplet; evoluce; geny; porovnávání řetězc; zarovnání; akcelerace algoritmu; hardware; architektura; FPGA; globální metoda; lokální metoda; algoritmus; Levenshteinova vzdálenost; Smith-Waterman; Needleman-Wunsch; pokuta; mezery; zpětný průchod; substituční matice; skóre podobnosti; výpočet; porovnávací buňka; porovnávací pravidla; řídící obvod.; DNA sequence; RNA; protein sequence; nucleotide amino-acid; codon; triplet; evolution; genes; pairwise alignment; string matching; global alignment; algorithm acceleration; hardware; architecture; FPGA technology; local alignment; Levenshtein distance; Smith-Waterman algorithm; Needleman-Wunsch algorithm; penalty; gaps backtracking; substitution matrix; match score; computing; matching cell; character rule; sequencer.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nosek, O. (2019). Hardwarová akcelerace algoritmu pro hledání podobnosti dvou DNA řetězců: Hardware Acceleration of Algorithms for Approximate String Matching. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nosek, Ondřej. “Hardwarová akcelerace algoritmu pro hledání podobnosti dvou DNA řetězců: Hardware Acceleration of Algorithms for Approximate String Matching.” 2019. Thesis, Brno University of Technology. Accessed August 11, 2020. http://hdl.handle.net/11012/54025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nosek, Ondřej. “Hardwarová akcelerace algoritmu pro hledání podobnosti dvou DNA řetězců: Hardware Acceleration of Algorithms for Approximate String Matching.” 2019. Web. 11 Aug 2020.

Vancouver:

Nosek O. Hardwarová akcelerace algoritmu pro hledání podobnosti dvou DNA řetězců: Hardware Acceleration of Algorithms for Approximate String Matching. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/11012/54025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nosek O. Hardwarová akcelerace algoritmu pro hledání podobnosti dvou DNA řetězců: Hardware Acceleration of Algorithms for Approximate String Matching. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.