A Knowledge Acquisition Method of Judgment Rules for Spam E-mail by using Self Organizing Map and Automatically Defined Groups by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{Ichimura:2010:SOM,

• title = "A Knowledge Acquisition Method of Judgment Rules for Spam {E-mail} by using Self Organizing Map and Automatically Defined Groups by Genetic Programming",
• author = "Takumi Ichimura and Kazuya Mera and Akira Hara",
• booktitle = "Self-Organizing Maps",
• publisher = "InTech",
• year = "2010",
• editor = "George K Matsopoulos",
• chapter = "24",
• month = apr,
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-953-307-074-2",
• bibsource = "OAI-PMH server at www.intechopen.com",
• language = "eng",
• oai = "oai:intechopen.com:10468",
• URL = "http://www.intechopen.com/articles/show/title/a-knowledge-acquisition-method-of-judgment-rules-for-spam-e-mail-by-using-self-organizing-map-and-au",
• DOI = "doi:10.5772/9177",
• abstract = "In this paper, we propose a classification method for Spam E-mail based on the results of SpamAssassin. This method can learn patterns of Ham and Spam E-mails. First, SOM can classify many E-mails into the some categories. In this phase, we can see the characters of current received Spam E-mails. Second, ADG can extract the correct judgement rules of Hams misjudged as Spams. However, there are a few cases of Spam misjudged as Ham. In this experiment, ADG makes an over fitting to the characters of Hams. We have met the problems according to the limitation of classification capability by SOM and explosive search in GP using many nodes as shown in T1 Therefore, we improve the proposed method",
• notes = "http://www.intechopen.com/books/show/title/self-organizing-maps",
• size = "14 pages",

}

Genetic Programming entries for Takumi Ichimura Kazuya Mera Akira Hara

Citations