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The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)

DOI: 10.1109/wi.2005.31

Springer Verlag, Lecture Notes in Computer Science, p. 779-788

DOI: 10.1007/11875581_94

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An Interactive Hybrid System for Identifying and Filtering Unsolicited Email

Proceedings article published in 2005 by M. D. del Castillo, J. I. Serrano ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

This paper presents a system for automatically detecting and filtering unsolicited electronic messages. The underlying filtering method is based on email origin and content. A heuristic knowledge base formed by spam words is extracted from labelled emails by a finite state automata. The processing of three parts of every email by a single Bayesian filter and the integration of the every part classification allows to achieve a maximum performance goal. The system is dynamic and interactive and evolves from the evolution of spam by incremental machine learning.