| Autor: |
Muhammad Waleed Ashraf, Muhammad Usman, Mahwish Abid |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
International Journal of Recent Contributions from Engineering, Science & IT, Vol 5, Iss 4, Pp 68-75 (2017) |
| ISSN: |
2197-8581 |
| DOI: |
10.3991/ijes.v5i4.7869 |
| Popis: |
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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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