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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Basto-Fernandes, V., Yevseyeva, I. & Méndez, J. R. (2013). Optimization of anti-spam systems with multiobjective evolutionary algorithms. Information Resources Management Journal. 26 (1), 54-67
Exportar Referência (IEEE) 
V. M. Fernandes et al.,  "Optimization of anti-spam systems with multiobjective evolutionary algorithms", in Information Resources Management Journal, vol. 26, no. 1, pp. 54-67, 2013
Exportar BibTeX 
@article{fernandes2013_1732208564907,
	author = "Basto-Fernandes, V. and Yevseyeva, I. and Méndez, J. R.",
	title = "Optimization of anti-spam systems with multiobjective evolutionary algorithms",
	journal = "Information Resources Management Journal",
	year = "2013",
	volume = "26",
	number = "1",
	doi = "10.4018/irmj.2013010105",
	pages = "54-67",
	url = "http://www.igi-global.com/gateway/article/73794"
}
Exportar RIS 
TY  - JOUR
TI  - Optimization of anti-spam systems with multiobjective evolutionary algorithms
T2  - Information Resources Management Journal
VL  - 26
IS  - 1
AU  - Basto-Fernandes, V.
AU  - Yevseyeva, I.
AU  - Méndez, J. R.
PY  - 2013
SP  - 54-67
SN  - 1040-1628
DO  - 10.4018/irmj.2013010105
UR  - http://www.igi-global.com/gateway/article/73794
AB  - In this paper anti-spam filtering is presented as a cumbersome service, as opposed to a software product perspective. The huge human effort for setting up, adaptation, maintenance, and tuning of filters for spam detection in anti-spam systems is explained. Choosing the best importance scores for the spam filters is essential for the accuracy of any rules based anti-spam system, and is also one of the biggest challenges in this research area. Optimal filters score settings for Apache SpamAssassin project (the most widely adopted anti-spam open-source software) is addressed. In addition to a survey done on single/multi-objective optimization research in this area, we also present a study for filters score setting using multiobjective optimization based on two most representative evolutionary algorithms, NSGA II and SPEA2. Problem description, simulation and results analysis is done for SpamAssassin public mail corpus which is widely used for benchmarking purposes.
ER  -