Automated Discovery of Discriminant Rules for a Group of Objects in Databases

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  title =        "Automated Discovery of Discriminant Rules for a Group
                 of Objects in Databases",
  author =       "Tae-wan Ryu and Christoph F. Eick",
  booktitle =    "Conference on Automated Learning and Discorvery,
  year =         "1998",
  editor =       "Sebastian Thrun and (Mike Meyer, Teddy Seidenfeld and 
                 Kannan Srinivasan)",
  address =      "Carnegie Mellon University, Pittsburg, PA, USA",
  month =        "11-13 " # jun,
  note =         "Workshop on ``Large-Scale Consumer Databases''",
  keywords =     "genetic algorithms, genetic programming, MASSON",
  URL =          "",
  URL =          "",
  citeseer-references = "oai:CiteSeerPSU:12493; oai:CiteSeerPSU:24123;
                 oai:CiteSeerPSU:1852; oai:CiteSeerPSU:113286;
                 oai:CiteSeerPSU:524488; oai:CiteSeerPSU:97771",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:45760",
  rights =       "unrestricted",
  size =         "6 pages",
  abstract =     "This paper discusses our research overview and
                 problems in discovering useful knowledge from a
                 structured database. This research is an extended work
                 of a prototype system, MASSON that discovers
                 discriminant rules in the form of database query for a
                 set of objects using genetic programming. In order to
                 discover useful discriminant rules in a database, the
                 basic approach that is employed in this research is
                 first cluster the given database into clusters that
                 contain a set of similar objects, then the set of
                 objects in each cluster is provided to the discovery
                 system, MASSON. We also discuss several research
                 problems in clustering a structured database.
                 Introduction Discriminant rules are rules that
                 exclusively describe the characteristics for a set of
                 objects in a given data set. In this framework, the
                 rules cover only the specific set of objects without
                 covering any other objects in a given data set.
                 Discovery (or unsupervised learning) systems can
                 discover such rules by themselves wh...",
  notes =        "",

Genetic Programming entries for Tae-Wan Ryu Christoph F Eick