In this paper we describe a cluster-based plagiarism detection method, which we have used in the learning management system of SCUT to detect plagiarism in the network engineering ...
This paper describes a new approach towards detecting plagiarism and scientific documents that have been read but not cited. In contrast to existing approaches, which analyze docu...
In this paper we present an approach to detect external plagiarism based on textual similarity. This is an efficient and precise method that can be applied over large sets of docum...
This report explains our plagiarism detection method using fuzzy semantic-based string similarity approach. The algorithm was developed through four main stages. First is pre-proce...
We describe a large-scale application of methods for finding plagiarism and self-plagiarism in research document collections. The methods are applied to a collection of 284,834 d...
Daria Sorokina, Johannes Gehrke, Simeon Warner, Pa...