Plagiarism Detection in arXiv

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Abstract

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We describe a large-scale application of methods for finding plagiarism in research document collections. The methods are applied to a collection of 284,834 documents collected by arXiv.org over a 14 year period, covering a few different research disciplines. The methodology efficiently detects a variety of problematic author behaviors, and heuristics are developed to reduce the number of false positives. The methods are also efficient enough to implement as a real-time submission screen for a collection many times larger.
Sixth International Conference on Data Mining (ICDM'06), Dec 2006

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Databases, Digital Libraries, Information Retrieval

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http://salesiana.dossiersoluciones.com/handle/123456789/123113

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0702012
 http://arxiv.org/abs/cs/0702012
 doi:10.1109/ICDM.2006.126

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arXiv