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 Special Issue on The Sustainable Development Goals

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Vol. 7, October, Issue 6

Paper Submission  Deadline : 30th  October 2024

Vol. 7,  Special Issue(Bi-yearly)



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PLAGIARISM DETECTION USING DATA MINING TECHNIQUES

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Abstract:- As the technology is growing very fast and usage of computer systems is increased as compared to the old times,plagiarism is the phenomenon which is increasing day by day. Wrongful appropriation of someone else’s work is known asplagiarism. Manually detection of plagiarism is difficult so this process should be automated. There are various tools whichcan be used for plagiarism detection. Some works on intrinsic plagiarism while other work on extrinsic plagiarism. Data miningthe field which can help in detecting the plagiarism as well as can help to improve the efficiency of the process. Different datamining techniques can be used to detect plagiarism. Text mining, clustering, bi-gram, tri-grams, n-grams are the techniqueswhich can help in this process. Keywords—Plagiarism, Paraphrasing, Data mining, Text mining, MDR, trigram, n-gram,Clustering, Similarity, Intrinsic plagiarism, Extrinsic plagiarism.

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