Mining and representing rare association rules through the use of genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jose Maria Luna and Jose Raul Romero and 
                 Sebastian Ventura",
  title =        "Mining and representing rare association rules through
                 the use of genetic programming",
  booktitle =    "Third World Congress on Nature and Biologically
                 Inspired Computing (NaBIC 2011)",
  year =         "2011",
  month =        "19-21 " # oct,
  pages =        "86--91",
  address =      "Salamanca",
  size =         "6 pages",
  abstract =     "Whereas the extraction of frequent patterns has
                 focused the major researches in association rule
                 mining, the requirements of reliable rules that do not
                 frequently appear is taking an increasing interest in a
                 great number of areas. This field has not been explored
                 in depth and most algorithms for mining infrequent
                 association rules follow an exhaustive search
                 methodology, which hampers the extracting process
                 because of the size of the datasets. The importance of
                 discovering patterns that do not frequently appear in a
                 dataset and the promising results obtained when using
                 evolutionary proposals in the field of frequent pattern
                 mining motivates the evolutionary proposal for
                 discovering rare association rules presented in this
                 paper. Here, a context-free grammar is described and
                 applied to adapt individuals to each particular problem
                 or domain. The use of both an evolutionary approach and
                 a context-free grammar reduces the memory requirements
                 and provides the possibility of extracting any kind of
                 rules, respectively. The experimental study shows that
                 this proposal obtains a set of reliable infrequent
                 rules in a short period of time.",
  keywords =     "genetic algorithms, genetic programming, context-free
                 grammar, evolutionary proposals, extracting process,
                 frequent pattern mining, infrequent association rule
                 mining, rare association rule mining, rare association
                 rule representation, search methodology, context-free
                 grammars, data mining",
  DOI =          "doi:10.1109/NaBIC.2011.6089422",
  notes =        "Also known as \cite{6089422}",

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