Evolving SQL Queries from Examples with Developmental Genetic Programming

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

@InCollection{Helmuth:2012:GPTP,
  author =       "Thomas Helmuth and Lee Spector",
  title =        "Evolving SQL Queries from Examples with Developmental
                 Genetic Programming",
  booktitle =    "Genetic Programming Theory and Practice X",
  year =         "2012",
  series =       "Genetic and Evolutionary Computation",
  editor =       "Rick Riolo and Ekaterina Vladislavleva and 
                 Marylyn D. Ritchie and Jason H. Moore",
  publisher =    "Springer",
  chapter =      "1",
  pages =        "1--14",
  address =      "Ann Arbor, USA",
  month =        "12-14 " # may,
  keywords =     "genetic algorithms, genetic programming, Data mining,
                 Classification, SQL, Push, PushGP",
  isbn13 =       "978-1-4614-6845-5",
  URL =          "http://dx.doi.org/10.1007/978-1-4614-6846-2_1",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.9078",
  URL =          "http://faculty.hampshire.edu/lspector/pubs/gptp-2012-preprint.pdf",
  DOI =          "doi:10.1007/978-1-4614-6846-2_1",
  abstract =     "Large databases are becoming ever more ubiquitous, as
                 are the opportunities for discovering useful knowledge
                 within them. Evolutionary computation methods such as
                 genetic programming have previously been applied to
                 several aspects of the problem of discovering knowledge
                 in databases. The more specific task of producing
                 human-comprehensible SQL queries has several potential
                 applications but has thus far been explored only to a
                 limited extent. In this chapter we show how
                 developmental genetic programming can automatically
                 generate SQL queries from sets of positive and negative
                 examples. We show that a developmental genetic
                 programming system can produce queries that are
                 reasonably accurate while excelling in human
                 comprehensibility relative to the well-known C5.0
                 decision tree generation system.",
  notes =        "part of \cite{Riolo:2012:GPTP} published after the
                 workshop in 2013",
}

Genetic Programming entries for Thomas Helmuth Lee Spector

Citations