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12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00)
GA Tree: genetically evolved decision trees
Vancouver, British Columbia, Canada
November 13-November 15
ISBN: 0-7695-0909-6
ASCII Text
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A. Papagelis, D. Kalles, "GA Tree: genetically evolved decision trees," Tools with Artificial Intelligence, IEEE International Conference on, pp. 0203, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000.
 
 
BibTex
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@article{ 10.1109/TAI.2000.889871,
author = {A. Papagelis and D. Kalles},
title = {GA Tree: genetically evolved decision trees},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0909-6},
pages = {0203},
doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2000.889871},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - GA Tree: genetically evolved decision trees
SN - 0-7695-0909-6
SP
EP
A1 - A. Papagelis,
A1 - D. Kalles,
PY - 2000
KW - genetic algorithms; decision trees; search problems; learning (artificial intelligence); GA Tree; genetically evolved decision trees; genetic algorithms; classification decision tree evolution; system performance; standard discretized concept learning problems; C4 5; OneR
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
A. Papagelis, Comput. Technol. Inst., Patras, Greece
D. Kalles, Comput. Technol. Inst., Patras, Greece
Abstract: We use genetic algorithms to evolve classification decision trees. The performance of the system is measured on a set of standard discretized concept learning problems and compared (very favorably) with the performance of two known algorithms (C4.5, OneR).
Index Terms:
genetic algorithms; decision trees; search problems; learning (artificial intelligence); GA Tree; genetically evolved decision trees; genetic algorithms; classification decision tree evolution; system performance; standard discretized concept learning problems; C4 5; OneR
Citation:
A. Papagelis, D. Kalles, "GA Tree: genetically evolved decision trees," ictai, pp.0203, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000
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