On the Suitability of Genetic-Based Algorithms for Data Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Sunil Choenni",
  title =        "On the Suitability of Genetic-Based Algorithms for
                 Data Mining",
  institution =  "National Aerospace Laboratory",
  year =         "1998",
  number =       "NLR-TP-98484",
  address =      "Amsterdam",
  month =        nov,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.nlr.nl/NLR-TP-98484.pdf",
  URL =          "http://citeseer.ist.psu.edu/271039.html",
  abstract =     "Data mining has as goal to extract knowledge from
                 large databases. To extract this knowledge, a database
                 may be considered as a large search space, and a mining
                 algorithm as a search strategy. In general, a search
                 space consists of an enormous number of elements,
                 making an exhaustive search infeasible. Therefore,
                 efficient search strategies are of vital importance.
                 Search strategies based on genetic-based algorithms
                 have been applied successfully in a wide range of
                 applications. In this paper, we discuss the suitability
                 of genetic-based algorithms for data mining. We discuss
                 the design and implementation of a genetic-based
                 algorithm for data mining and illustrate its
  notes =        "shorter version published as

                 page 22 {"}real-life database, FAA incident database,
                 contains aircraft incident data 1978-95{"}",
  size =         "26 pages",

Genetic Programming entries for Sunil Choenni