Redes Neurais Artificiais para Detecc¸ ~ao de Web Spams

Renato M. SilvaTiago A. AlmeidaAkebo Yamakami

Web spams has become a major problem for Internet users, causing personal and economic losses. Fortunately, several methods have been proposed in the literature for automatic detection of this plague. However, the constant improvement of techniques used by spammers requires that the filtering approaches be more generic, efficient and with high capacity of adaptation. Given this scenario, this paper presents a performance evaluation of multi-layer perceptron artificial neural networks employed to solve such a problem.

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Biblioteca Digital Brasileira de Computação - Contato:
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