• DocumentCode
    2393253
  • Title

    Survey of Plagiarism Detection Methods

  • Author

    Ali, A.M.E.T. ; Abdulla, Hussam M Dahwa ; Snasel, Vaclav

  • Author_Institution
    Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava, Czech Republic
  • fYear
    2011
  • fDate
    24-26 May 2011
  • Firstpage
    39
  • Lastpage
    42
  • Abstract
    Plagiarism has become one area of interest for researchers due to its importance, and its fast growing rates. In this paper we are going to survey and list the advantage sand disadvantages of the latest and the important effective methods used or developed in automatic plagiarism detection, according to their result. Mainly methods used in natural language text detection, index structure, and external plagiarism detection and clustering - based detection.
  • Keywords
    copyright; indexing; natural language processing; pattern clustering; text analysis; automatic plagiarism detection; clustering based detection; external plagiarism detection; index structure; natural language text detection; Conferences; Fingerprint recognition; Indexes; Internet; Natural languages; Plagiarism; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (AMS), 2011 Fifth Asia
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0193-1
  • Type

    conf

  • DOI
    10.1109/AMS.2011.19
  • Filename
    5961238