G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Jose Maria Luna and Jose Raul Romero and 
                 Sebastian Ventura",
  title =        "G3PARM: A Grammar Guided Genetic Programming algorithm
                 for mining association rules",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, NSGA-II",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "This paper presents the G3PARM algorithm for mining
                 representative association rules. G3PARM is an
                 evolutionary algorithm that uses G3P (Grammar Guided
                 Genetic Programming) and an auxiliary population made
                 up of its best individuals who will then act as parents
                 for the next generation. Due to the nature of G3P, the
                 G3PARM algorithm allows us to obtain valid individuals
                 by defining them through a context-free grammar and,
                 furthermore, this algorithm is generic with respect to
                 data type. We compare our algorithm to two
                 multiobjective algorithms frequently used in literature
                 and known as NSGA2 (Non dominated Sort Genetic
                 Algorithm) and SPEA2 (Strength Pareto Evolutionary
                 Algorithm) and demonstrate the efficiency of our
                 algorithm in terms of running-time, coverage and
                 average support, providing the user with high
                 representative rules.",
  DOI =          "doi:10.1109/CEC.2010.5586504",
  notes =        "WCCI 2010. Also known as \cite{5586504}",

Genetic Programming entries for Jose Maria Luna Jose Raul Romero Salguero Sebastian Ventura