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dc.contributor.advisor Wijayarathna, G
dc.contributor.author Bandara, U
dc.date.accessioned 2014-08-19T14:11:15Z
dc.date.available 2014-08-19T14:11:15Z
dc.date.issued 2014-08-19
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/10544
dc.description.abstract With the rapid development of Internet technology and freely availability of academic materials in electronic format, plagiarism has become a key issue in universities and colleges. Therefore researchers have been developing various tools to address plagiarism. Plagiarism can be occurred in any academic field, but developing a generic tool to address all kind of plagiarism is not feasible. So we developed a product to detect plagiarism in programming assignments submitted by students those who are taking programming courses in universities and colleges. Plagiarism detection in programming source codes can be done by various methods. Our proposed solution uses machine learning approach to plagiarism detection. In addition our proposed has been using several learning algorithms and ensemble learning approach to enhanced performance of the system. At present this system is outperforming some plagiarism detection tools which are based on the machine learning approach to detect plagiarism. en_US
dc.language.iso en en_US
dc.title Plagiarism detection tool for students' programming assignments en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree Master of Science in Information Technology en_US
dc.identifier.department Information Technology en_US
dc.date.accept 2011-03
dc.identifier.accno 102505 en_US


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