PDetect proposes the use of an appropriate measure for evaluating plagiarism detection performance and supports the idea of combining different plagiarism ...
Oct 22, 2024 · PDetect proposes the use of an appropriate measure for evaluating plagiarism detection performance and supports the idea of combining different ...
A clustering oriented approach for facing the problem of source code plagiarism, designed such that it may be easily adapted over any keyword-based ...
Our project aim is to create such a system for finding plagiarism in a large dataset of source codes. The whole system consists of several parts. A ...
PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets. Overview of attention for article published in Computer Journal, June 2005.
Jun 5, 2013 · PDetect: a Clustering Approach for Detecting Plagiarism in Source Code Data Sets. Authors: Moussiades L., Vakali A. Department: Αριστοτέλειο ...
PDetect: A clustering approach for detecting plagiarism in source code datasets. The Computer Journal, 48(6):651–661, 2005. R. C. Lange and S. Mancoridis ...
PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets · A Technique for Detecting Plagiarism in Computer Code.
Jan 23, 2020 · In this paper, we propose a novel plagiarism detection algorithm that receives as input a set of source codes and calculates the clusters of ...
PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets. The Computer Journal 48, 6 (2005), 651-661. Digital Library · Google Scholar.
In response to a legal request submitted to Google, we have removed 1 result(s) from this page. If you wish, you may read more about the request at LumenDatabase.org. |