Deriving Queries From Examples Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{ryu:1996:dqeGP,

• author = "Tae-Wan Ryu and Christoph F. Eick",
• title = "Deriving Queries From Examples Using Genetic Programming",
• 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, MASSON",
• pages = "303--306",
• address = "Portland, Oregon, USA",
• publisher = "AAAI Press",
• ISBN = "1-57735-004-9",
• URL = "http://www.cs.uh.edu/~ceick/masson/kdd96.ps",
• URL = "http://www.aaai.org/Press/Proceedings/kdd96.php",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.541.1268",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.541.1268",
• URL = "https://www.aaai.org/Papers/KDD/1996/KDD96-053.pdf",
• 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

Citations