INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Being a developing issue, plagiarism is commonly described as literature theft and academic dishonest nature in the writing, and it must be avoided and adhere to the moral standards. Plagiarism occur in scholastics, paper publication, music, work of art developing quickly, so the recognizing plagiarism is essential. While the most recent couple of year’s plagiarism detection tools have been utilized predominantly in research conditions, refined plagiarism programming and instruments are presently quickly rising. In this paper, we give an outline of various plagiarism programming and apparatuses to take care of the plagiarism issue. We propose an element classification conspire that can be utilized to examine plagiarism discovery programming and plagiarism recognition instruments. This plan depends on the product's general qualities, devices qualities, and apparatuses property.Keywords: Plagiarism Detection, Plagiarism Types, Plagiarism Techniques, Plagiarism Algorithms
"Plagiarism Detection using Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 3, page no.569 - 573, March-2019, Available :http://www.ijsdr.org/papers/IJSDR1903100.pdf
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Publication Details:
Published Paper ID: IJSDR1903100
Registration ID:190322
Published In: Volume 4 Issue 3, March-2019
DOI (Digital Object Identifier):
Page No: 569 - 573
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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