Reducing computational effort for plagiarism detection with approximate string matching

Tetsuya Nakatoh, Toshiro Minami

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Currently, a large number of documents are created as digital material and distributed world-wide. Digital materials are easy to publish and copy at a remarkably low cost. As a result, many documents are copied illegally, and this practice is spreading, making plagiarism a significant social issue. Therefore, the need to develop systems that detect plagiarism is very high. We have developed a new plagiarism detection method that compares documents by using approximate string matching to detect plagiarism. We have also developed a technique that reduces the computational time of the comparison method. In this paper, we demonstrate our proposed method’s usefulness through experiments and through the measuring indexes of precision and recall.

    Original languageEnglish
    Title of host publicationRecent Advances on Soft Computing and Data Mining - Proceedings of the 3rd International Conference on Soft Computing and Data Mining SCDM 2018
    EditorsJemal H. Abawajy, Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi
    PublisherSpringer Verlag
    Pages429-435
    Number of pages7
    ISBN (Print)9783319725499
    DOIs
    Publication statusPublished - 2018
    Event3rd International Conference on Soft Computing and Data Mining, SCDM 2018 - Johor, Malaysia
    Duration: Feb 6 2018Feb 8 2018

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume700
    ISSN (Print)2194-5357

    Other

    Other3rd International Conference on Soft Computing and Data Mining, SCDM 2018
    Country/TerritoryMalaysia
    CityJohor
    Period2/6/182/8/18

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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