A grammar based Ant Programming algorithm for mining classification rules

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Juan Luis Olmo and Jose Raul Romero and 
                 Sebastian Ventura",
  title =        "A grammar based Ant Programming algorithm for mining
                 classification 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, ACO",
  isbn13 =       "978-1-4244-6910-9",
  DOI =          "doi:10.1109/CEC.2010.5586492",
  size =         "8 pages",
  abstract =     "This paper focuses on the application of a new
                 ACO-based automatic programming algorithm to the
                 classification task of data mining. This new model,
                 called GBAP algorithm, is based on a context-free
                 grammar that properly guides the creation of new valid
                 individuals. Moreover, its most differentiating
                 factors, such as the use of two complementary heuristic
                 measures for every transition rule, as well as the way
                 it assigns a consequent and evaluates the extracted
                 rules, are also discussed. These features enhance the
                 final rule compilation from the output classifier. The
                 performance of the proposed algorithm is evaluated and
                 compared against other top algorithms, and the results
                 obtained over 17 diverse data sets show that our
                 approach reaches pretty competitive and even better
                 accuracy values than those resulting from the other
                 algorithms considered in the experimentation.",
  notes =        "WCCI 2010. Also known as \cite{5586492}",

Genetic Programming entries for Juan Luis Olmo Jose Raul Romero Salguero Sebastian Ventura