首页> 外文会议>IEEE International Conference on Cybernetics and Computational Intelligence >Detecting documents plagiarism using winnowing algorithm and k-gram method
【24h】

Detecting documents plagiarism using winnowing algorithm and k-gram method

机译:使用Winnowing算法和K-GRAM方法检测文件抄袭

获取原文

摘要

In this paper, we propose and evaluate a web-based software to check similarities of documents. The resemblance value of those documents will be compared based on the percentage of its word resemblance. The similarity value will help to detect plagiarism in documents. Methods used in this application are winnowing algorithm and web-based k-gram. We evaluate the accuracy of the system by comparing the system result with the human result. The differences between the systems and the respondents are 7% with k-gram 25 and 4% with k-gram 20. Moreover, processing time of our application are also discussed.
机译:在本文中,我们提出并评估了基于Web的软件来检查文件的相似之处。这些文件的相应价值将​​基于其单词相似的百分比进行比较。相似值将有助于检测文件中的抄袭。本申请中使用的方法是Winnowing算法和基于Web的K-Gram。我们通过将系统与人体结果进行比较来评估系统的准确性。系统和受访者之间的差异为7 %,其中K-GRAM 25和4 %k-gram 20.此外,还讨论了应用程序的处理时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号