Genetic Program Based Data Mining for Fuzzy Decision
Trees
J. Smith, III. Intelligent Data Engineering and Automated Learning -
IDEAL 2004, 5th International Conference, Proceedings, volume 3177 of Lecture Notes in Computer Science, page 464--470. Exeter, UK, Springer, (August 2004)
DOI: doi:10.1007/b99975
Abstract
A data mining procedure for automatic determination of
fuzzy decision tree structure using a genetic program
is discussed. A genetic program is an algorithm that
evolves other algorithms or mathematical expressions.
Methods of accelerating convergence of the data mining
procedure including a new innovation based on computer
algebra are examined. Experimental results related to
using computer algebra are given. A comparison between
a tree obtained using a genetic program and one
constructed solely by interviewing experts is made. A
genetic program evolved tree is shown to be superior to
one created by hand using expertise alone. Finally,
additional methods that have been used to validate the
data mining algorithm are discussed
%0 Conference Paper
%1 DBLP:conf/ideal/Smith04
%A Smith, III, James F.
%B Intelligent Data Engineering and Automated Learning -
IDEAL 2004, 5th International Conference, Proceedings
%C Exeter, UK
%D 2004
%E Yang, Zheng Rong
%E Everson, Richard M.
%E Yin, Hujun
%I Springer
%K algorithms, expression gene genetic programming programming,
%P 464--470
%R doi:10.1007/b99975
%T Genetic Program Based Data Mining for Fuzzy Decision
Trees
%U http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3177&spage=464
%V 3177
%X A data mining procedure for automatic determination of
fuzzy decision tree structure using a genetic program
is discussed. A genetic program is an algorithm that
evolves other algorithms or mathematical expressions.
Methods of accelerating convergence of the data mining
procedure including a new innovation based on computer
algebra are examined. Experimental results related to
using computer algebra are given. A comparison between
a tree obtained using a genetic program and one
constructed solely by interviewing experts is made. A
genetic program evolved tree is shown to be superior to
one created by hand using expertise alone. Finally,
additional methods that have been used to validate the
data mining algorithm are discussed
%@ 3-540-22881-0
@inproceedings{DBLP:conf/ideal/Smith04,
abstract = {A data mining procedure for automatic determination of
fuzzy decision tree structure using a genetic program
is discussed. A genetic program is an algorithm that
evolves other algorithms or mathematical expressions.
Methods of accelerating convergence of the data mining
procedure including a new innovation based on computer
algebra are examined. Experimental results related to
using computer algebra are given. A comparison between
a tree obtained using a genetic program and one
constructed solely by interviewing experts is made. A
genetic program evolved tree is shown to be superior to
one created by hand using expertise alone. Finally,
additional methods that have been used to validate the
data mining algorithm are discussed},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Exeter, UK},
author = {{Smith, III}, James F.},
bibsource = {DBLP, http://dblp.uni-trier.de},
biburl = {https://www.bibsonomy.org/bibtex/2aa4d0ff8af507390517d3ec179cbebea/brazovayeye},
booktitle = {Intelligent Data Engineering and Automated Learning -
IDEAL 2004, 5th International Conference, Proceedings},
doi = {doi:10.1007/b99975},
editor = {Yang, Zheng Rong and Everson, Richard M. and Yin, Hujun},
interhash = {90c6dfbdf0e364395897c7f84b5226e5},
intrahash = {aa4d0ff8af507390517d3ec179cbebea},
isbn = {3-540-22881-0},
keywords = {algorithms, expression gene genetic programming programming,},
month = {August 25-27},
notes = {http://www.dcs.ex.ac.uk/ideal04/
(1) Naval Research Laboratory, Code 5741, Washington,
D.C., 20375-5000, Tel: 202.767.5358,},
organisation = {IEEE},
pages = {464--470},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2008-06-19T17:51:51.000+0200},
title = {Genetic Program Based Data Mining for Fuzzy Decision
Trees},
url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3177&spage=464},
volume = 3177,
year = 2004
}