Deriving Queries From Examples Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Tae-Wan Ryu and Christoph F. Eick",
  title =        "Deriving Queries From Examples Using Genetic
  booktitle =    "The Second International Conference on Knowledge
                 Discovery and Data Mining (KDD-96)",
  editor =       "Evangelos Simoudis and Jia Wei Han and Usama Fayyad",
  year =         "1996",
  month =        aug # " 2-4",
  keywords =     "genetic algorithms, genetic programming, data mining,
  pages =        "303--306",
  address =      "Portland, Oregon, USA",
  publisher =    "AAAI Press",
  ISBN =         "1-57735-004-9",
  URL =          "",
  URL =          "",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  URL =          "",
  URL =          "",
  size =         "14 pages",
  abstract =     "This paper centers on the problem of extracting
                 intensional information for a set of objects from an
                 object-oriented database. In our approach, the
                 extracted intensional information for the given set of
                 objects are described by object- oriented queries that
                 compute this set of objects. The paper discusses the
                 architecture of a knowledge discovery system, called
                 MASSON, which employs genetic programming to find such
                 queries, moreover, we will show how interesting queries
                 that describe commonalities within a set of objects are
                 automatically generated, modified, evaluated, and
                 selected; we will also discuss how the search for the
                 {"}best{"} query is conducted by the MASSON system. We
                 also report on an experiment that evaluated the
                 knowledge discovery capability of MASSON.",
  notes =        "KDD-96",

Genetic Programming entries for Tae-Wan Ryu Christoph F Eick