Genetic Programming as a Data-Mining Tool

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

@InCollection{Smith:2002:DMaHA,
  author =       "Peter W. H. Smith",
  title =        "Genetic Programming as a Data-Mining Tool",
  booktitle =    "Data Mining: A Heuristic Approach",
  publisher =    "IGI-global",
  year =         "2002",
  editor =       "Hussein A. Abbass and Charles S. Newton and 
                 Ruhul Sarker",
  chapter =      "8",
  pages =        "157--173",
  address =      "701 E Chocolate Avenue, Hershey PA 17033, USA",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "9781930708259",
  URL =          "http://www.igi-global.com/chapter/genetic-programming-data-mining-tool/7588",
  DOI =          "doi:10.4018/978-1-930708-25-9.ch008",
  abstract =     "Genetic Programming (GP) has increasingly been used as
                 a data-mining tool. For example, it has successfully
                 been used for decision tree induction (Marmelstein and
                 Lamont, 1998; Choenni, 1999), data fusion (Langdon,
                 2001) and has also been used for the closely related
                 problem of intelligent text retrieval on the Internet
                 (Bergstrom, Jaksetic and Nordin, 2000). Indeed its
                 ability to induce a program from data makes it a very
                 promising tool for data mining applications. It has
                 been successfully applied in many different fields and
                 has even produced results that have exceeded those
                 produced by other means. For example it has been used
                 to evolve chemical structures (Nachbar, 2000) using a
                 quantitative structure activity relationship model. It
                 has also had success in spacecraft attitude control
                 (Howley, 1996) where near-minimum spacecraft attitude
                 manoeuvres were evolved which outperformed previous
                 hand-coded solutions. It has also been used in quantum
                 computing, where it was used to evolve quantum
                 algorithms (Barnum, Bernstein and Spector, 2000). In
                 this work, it rediscovered known algorithms such as
                 Deutsch's Early Promise Problem and discovered quantum
                 results that experts did not think could exist, for
                 example, AND-OR query problem. These examples
                 demonstrate the versatility and potential of GP.",
  notes =        "Peter W.H. Smith (City University, UK)",
}

Genetic Programming entries for Peter W H Smith

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