An Automatic Generation of Textual Pattern Rules for Digital Content Filters Proposal, Using Grammatical Evolution Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{BastoFernandes:2014:PT,
  author =       "Vitor Basto-Fernandes and Iryna Yevseyeva and 
                 Rafael Z. Frantz and Carlos Grilo and Noemi {Perez Diaz} and 
                 Michael Emmerich",
  title =        "An Automatic Generation of Textual Pattern Rules for
                 Digital Content Filters Proposal, Using Grammatical
                 Evolution Genetic Programming",
  journal =      "Procedia Technology",
  volume =       "16",
  pages =        "806--812",
  year =         "2014",
  note =         "CENTERIS 2014 - Conference on ENTERprise Information
                 Systems / ProjMAN 2014 - International Conference on
                 Project MANagement / HCIST 2014 - International
                 Conference on Health and Social Care Information
                 Systems and Technologies",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution, Spam filtering, Digital Content Filters,
                 Classification",
  ISSN =         "2212-0173",
  DOI =          "doi:10.1016/j.protcy.2014.10.030",
  URL =          "http://www.sciencedirect.com/science/article/pii/S2212017314002576",
  abstract =     "This work presents a conceptual proposal to address
                 the problem of intensive human specialised resources
                 that are nowadays required for the maintenance and
                 optimised operation of digital contents filtering in
                 general and anti-spam filtering in particular. The huge
                 amount of spam, malware, virus, and other illegitimate
                 digital contents distributed through network services,
                 represents a considerable waste of physical and
                 technical resources, experts and end users time, in
                 continuous maintenance of anti-spam filters and
                 deletion of spam messages, respectively. The problem of
                 cumbersome and continuous maintenance required to keep
                 anti-spam filtering systems updated and running in an
                 efficient way, is addressed in this work by the means
                 of genetic programming grammatical evolution
                 techniques, for automatic rules generation, having
                 SpamAssassin anti-spam system and SpamAssassin public
                 corpus as the references for the automatic filtering
                 customisation.",
}

Genetic Programming entries for Vitor Basto-Fernandes Iryna Yevseyeva Rafael Z Frantz Carlos Grilo Noemi Perez Diaz Michael Emmerich

Citations