Friday, November 21
2:45 PM-3:05 PM
UTC
Royale Skybox 208

Electronic Plagiarism Detection System Architecture: Incorporating Porter Stemmer and K Nearest Neighbors Algorithm

Brief Paper ID: 23866
  1. Navin Rongratana
    UNLV
  2. Greg Levitt
    UNLV

Abstract: A common problem that all teachers face is the problem of plagiarism. With content on the internet readily available students, an A+ term paper is a Google search. Therefore, teachers must be equipped with tools that can assist them to make sure that students are turning in their own work. This paper investigates the methods of manual detection of plagiarized documents and proposes the rule based references validation process, string frequency analysis with stem porter algorithm, the similarity value calculation and using K nearest neighbors algorithm on the selected relevant documents.

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