Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval

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主要作者: Mohammed Alzahrani, Salha
格式: Thesis
出版: 2009
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id my-utm-ep.18474
record_format uketd_dc
spelling my-utm-ep.184742011-11-18T04:34:36Z Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval 2009-00 Mohammed Alzahrani, Salha QA75 Electronic computers. Computer science 2009-00 Thesis http://eprints.utm.my/id/eprint/18474/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Mohammed Alzahrani, Salha
Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
description
format Thesis
qualification_level Master's degree
author Mohammed Alzahrani, Salha
author_facet Mohammed Alzahrani, Salha
author_sort Mohammed Alzahrani, Salha
title Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
title_short Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
title_full Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
title_fullStr Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
title_full_unstemmed Plagiarism auto-detection in Arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
title_sort plagiarism auto-detection in arabic scripts using statement-based fingerprints matching and fuzzy-set information retrieval
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2009
_version_ 1747815283645480960