2018年
Reducing computational effort for plagiarism detection with approximate string matching
Advances in Intelligent Systems and Computing
- ,
- 巻
- 700
- 号
- 開始ページ
- 429
- 終了ページ
- 435
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1007/978-3-319-72550-5_41
- 出版者・発行元
- Springer Verlag
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.
- リンク情報
- ID情報
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- DOI : 10.1007/978-3-319-72550-5_41
- ISSN : 2194-5357
- DBLP ID : conf/scdm/NakatohM18
- SCOPUS ID : 85041530767