Genetic Programming for Mining Association Rules in Relational Database Environments

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

@InCollection{Luna:2015:hbgpa,
  author =       "J. M. Luna and A. Cano and S. Ventura",
  title =        "Genetic Programming for Mining Association Rules in
                 Relational Database Environments",
  booktitle =    "Handbook of Genetic Programming Applications",
  publisher =    "Springer",
  year =         "2015",
  editor =       "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
  chapter =      "17",
  pages =        "431--450",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-20882-4",
  URL =          "http://www.uco.es/users/i52caroa/publicaciones-bib.html#2015-HGPA",
  DOI =          "doi:10.1007/978-3-319-20883-1_17",
  abstract =     "Most approaches for the extraction of association
                 rules look for associations from a dataset in the form
                 of a single table. However, with the growing interest
                 in the storage of information, relational databases
                 comprising a series of relations (tables) and
                 relationships have become essential. We present the
                 first grammar-guided genetic programming approach for
                 mining association rules directly from relational
                 databases. We represent the relational databases as
                 trees by means of genetic programming, preserving the
                 original database structure and enabling rules to be
                 defined in an expressive and very flexible way. The
                 proposed model deals with both positive and negative
                 items, and also with both discrete and quantitative
                 attributes. We exemplify the utility of the proposed
                 approach with an artificial generated database having
                 different characteristics. We also analyse a real case
                 study, discovering interesting students' behaviors from
                 a moodle database.",
}

Genetic Programming entries for Jose Maria Luna Alberto Cano Rojas Sebastian Ventura

Citations