Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Zafra2009,
  author =       "Amelia Zafra and Eva L. Gibaja and Sebastian Ventura",
  title =        "Multiple Instance Learning with Multiple Objective
                 Genetic Programming for Web Mining",
  journal =      "Applied Soft Computing",
  year =         "2011",
  volume =       "11",
  number =       "1",
  pages =        "93--102",
  month =        jan,
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2009.10.021",
  URL =          "http://www.sciencedirect.com/science/article/B6W86-4XHVGXC-6/2/45abf35a3df29930ebcbd77a76c8998b",
  keywords =     "genetic algorithms, genetic programming,
                 Multi-instance learning, Multi-objective learning, Web
                 Mining",
  abstract =     "This paper introduces a multi-objective grammar based
                 genetic programming algorithm, MOG3P-MI, to solve a Web
                 Mining problem from the perspective of multiple
                 instance learning. This algorithm is evaluated and
                 compared to other algorithms that were previously used
                 to solve this problem. Computational experiments show
                 that the MOG3P-MI algorithm obtains the best results,
                 adds comprehensibility and clarity to the knowledge
                 discovery process and overcomes the main drawbacks of
                 previous techniques obtaining solutions which maintain
                 a balance between conflicting measurements like
                 sensitivity and specificity.",
}

Genetic Programming entries for Amelia Zafra Gomez Eva L Gibaja Sebastian Ventura

Citations