Deriving Queries From Examples Using Genetic
Programming
T. Ryu, and C. Eick. The Second International Conference on Knowledge
Discovery and Data Mining (KDD-96), page 303--306. Portland, Oregon, USA, AAAI Press, (August 1996)
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.
%0 Conference Paper
%1 ryu:1996:dqeGP
%A Ryu, Tae-Wan
%A Eick, Christoph F.
%B The Second International Conference on Knowledge
Discovery and Data Mining (KDD-96)
%C Portland, Oregon, USA
%D 1996
%E Simoudis, Evangelos
%E Han, Jia Wei
%E Fayyad, Usama
%I AAAI Press
%K Algorithms, Genetic MASSON Programming, data genetic mining,
%P 303--306
%T Deriving Queries From Examples Using Genetic
Programming
%U http://www.aaai.org/Press/Proceedings/kdd96.php
%X 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.
%@ 1-57735-004-9
@inproceedings{ryu:1996:dqeGP,
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.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Portland, Oregon, USA},
author = {Ryu, Tae-Wan and Eick, Christoph F.},
biburl = {https://www.bibsonomy.org/bibtex/2b32b061aa319fcebdc5101e6a8ab1375/brazovayeye},
booktitle = {The Second International Conference on Knowledge
Discovery and Data Mining (KDD-96)},
editor = {Simoudis, Evangelos and Han, Jia Wei and Fayyad, Usama},
interhash = {adeb52cb917e98d65cd76a404a66f0a8},
intrahash = {b32b061aa319fcebdc5101e6a8ab1375},
isbn = {1-57735-004-9},
keywords = {Algorithms, Genetic MASSON Programming, data genetic mining,},
month = {August 2-4},
notes = {KDD-96},
pages = {303--306},
publisher = {AAAI Press},
size = {14 pages},
timestamp = {2008-06-19T17:50:53.000+0200},
title = {Deriving Queries From Examples Using Genetic
Programming},
url = {http://www.aaai.org/Press/Proceedings/kdd96.php},
year = 1996
}