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Revista Cubana de Ciencias Informáticas

versión On-line ISSN 2227-1899

Resumen

CASTILLO REYES, Grethell; GONZALEZ GONZALEZ, Yanisley  y  LUZUA FARIAS, Guillermo. Bayesian classification technique to identify possible plagiarism in textual information. Rev cuba cienc informat [online]. 2014, vol.8, n.4, pp.130-144. ISSN 2227-1899.

In the field of education, the document plagiarism is a problem with tendency to go up. In the field of scientific research, has been demonstrated that the plagiarized research papers has been spreading, so it has become necessary to find a solution to counteract this problem. In particular the University of Informatics Sciences decided to implement a computerized system to check for plagiarism in scientific articles for publishing in the academic information systems of the university such as: Scientific Series, Cuban Journal of Computer Science and the Institutional Repository fundamentally. The aim of this paper is to propose the use of various techniques for the plagiarism detection system to be developed, and the use of a machine learning method for the classification of suspicious documents.

Palabras clave : classification; detection; documents; machine learning; plagiarism.

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