Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Guzella T, Mota-Santos T, Uchôa J, Caminhas W. Identification of SPAM messages using an approach inspired on the immune system. Biosystems 2008;92:215-25. [DOI: 10.1016/j.biosystems.2008.02.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2007] [Revised: 02/23/2008] [Accepted: 02/23/2008] [Indexed: 11/28/2022]

For:	Guzella T, Mota-Santos T, Uchôa J, Caminhas W. Identification of SPAM messages using an approach inspired on the immune system. Biosystems 2008;92:215-25. [DOI: 10.1016/j.biosystems.2008.02.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2007] [Revised: 02/23/2008] [Accepted: 02/23/2008] [Indexed: 11/28/2022]

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Cited by Other Article(s)

Ruano-Ordás D, Fdez-Riverola F, R. Méndez J. Using evolutionary computation for discovering spam patterns from e-mail samples. Inf Process Manag 2018. [DOI: 10.1016/j.ipm.2017.12.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]

Ruano-Ordás D, Fdez-Riverola F, Méndez JR. Concept drift in e-mail datasets: An empirical study with practical implications. Inf Sci (N Y) 2018. [DOI: 10.1016/j.ins.2017.10.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]

Salehi S, Selamat A, Kuca K, Krejcar O, Sabbah T. Fuzzy granular classifier approach for spam detection. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017. [DOI: 10.3233/jifs-169133] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]

Idris I, Selamat A. Improved email spam detection model with negative selection algorithm and particle swarm optimization. Appl Soft Comput 2014. [DOI: 10.1016/j.asoc.2014.05.002] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]

Zhang Y, Wang S, Phillips P, Ji G. Binary PSO with mutation operator for feature selection using decision tree applied to spam detection. Knowl Based Syst 2014. [DOI: 10.1016/j.knosys.2014.03.015] [Citation(s) in RCA: 306] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]

Pérez-Díaz N, Ruano-Ordás D, Méndez JR, Gálvez JF, Fdez-Riverola F. Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification. Appl Soft Comput 2012. [DOI: 10.1016/j.asoc.2012.05.024] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]