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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 3 Issue 1</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Information Technology</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>January - February 2015</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2019</Year>
        <Month>11</Month>
        <Day>27</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>An Approach to Anti- Plagiarism Using Machine Learning Methods </ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>37</FirstPage>
      <LastPage>39</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Durga Bhavani Dasari</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
                      <FirstName>Dr. Venu Gopala Rao. K</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
           
        </Author>
      </AuthorList>
      <DOI></DOI>
      <Abstract>Being a growing problem, plagiarism is generally defined as literary theft and academic dishonesty in the literature, and it is really has to be prevented and stick to the ethical principal. To detect such dishonesty in document writing and Anti-Plagiarism system is proposed. In which Machine Learning Methods can be used to get fast response of plagiarism in suspected documents.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Plagiarism, Anti-Plagiarism, Machine Learning Methods, suspected documents.</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=139</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>