Finding the best variables for direct marketing models

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Ratner2001,
  author =       "Bruce Ratner",
  title =        "Finding the best variables for direct marketing
                 models",
  journal =      "Journal of Targeting, Measurement and Analysis for
                 Marketing",
  year =         "2001",
  volume =       "9",
  number =       "3",
  pages =        "270--296",
  month =        "1 " # feb,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1479-1862",
  DOI =          "doi:10.1057/palgrave.jt.5740021",
  size =         "27 pages",
  abstract =     "Finding the best possible subset of variables to put
                 in a model has been a frustrating exercise. Many
                 methods of variable selection exist, but none of them
                 is perfect. Moreover, they do not create new variables
                 which would enhance the predictive power of the
                 original variables themselves. Furthermore, none use a
                 criterion that addresses the specific needs of direct
                 marketing models. After repeated testing, the author
                 has developed a new methodology that uses genetic
                 modelling to find the variables of significance to
                 direct marketers.",
  notes =        "See \cite{Phat}, palgrave",
}

Genetic Programming entries for Bruce Ratner

Citations