Plagiarism Detection Process using Data Mining Techniques

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DOI:

https://doi.org/10.3991/ijes.v5i4.7869

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 as plagiarism. Manually detection of plagiarism is difficult so this process should be automated. There are various tools which can be used for plagiarism detection. Some works on intrinsic plagiarism while other work on extrinsic plagiarism. Data mining the field which can help in detecting the plagiarism as well as can help to improve the efficiency of the process. Different data mining techniques can be used to detect plagiarism. Text mining, clustering, bi-gram, tri-grams, n-grams are the techniques which can help in this process

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Published

2017-12-20

How to Cite

Abid, M., Usman, M., & Ashraf, M. W. (2017). Plagiarism Detection Process using Data Mining Techniques. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 5(4), pp. 68–75. https://doi.org/10.3991/ijes.v5i4.7869

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Section

Short Papers