Analysis of the Effectiveness of G3PARM Algorithm

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

@InProceedings{Luna:2010:HAIS,
  author =       "J. M. Luna and J. R. Romero and S. Ventura",
  title =        "Analysis of the Effectiveness of {G3PARM} Algorithm",
  booktitle =    "Proceedings of the 5th International Conference on
                 Hybrid Artificial Intelligence Systems (HAIS 2010) Part
                 II",
  year =         "2010",
  editor =       "Emilio Corchado and Manuel Grana Romay and 
                 Alexandre Manhaes Savio",
  volume =       "6077",
  series =       "Lecture Notes in Computer Science",
  pages =        "27--34",
  address =      "San Sebastian, Spain",
  month =        jun # " 23-25",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Association
                 Rules, G3P",
  isbn13 =       "978-3-642-13802-7",
  DOI =          "doi:10.1007/978-3-642-13803-4_4",
  size =         "8 pages",
  abstract =     "This paper presents an evolutionary algorithm using
                 G3P (Grammar Guided Genetic Programming) for mining
                 association rules in different real-world databases.
                 This algorithm, called G3PARM, uses an auxiliary
                 population made up of its best individuals that will
                 then act as parents for the next generation. The
                 individuals are defined through a context-free grammar
                 and it allows us to obtain datatype-generic and valid
                 individuals. We compare our approach to apriori and
                 FP-Growth algorithms and demonstrate that our proposal
                 obtains rules with better support, confidence and
                 coverage of the dataset instances. Finally, a
                 preliminary study is also introduced to compare the
                 scalability of our algorithm. Our experimental studies
                 illustrate that this approach is highly promising for
                 discovering association rules in databases.",
}

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

Citations