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10th Euromicro Workshop on Parallel, Distributed and Network-based Processing (EUROMICRO-PDP 2002)
Improving Induction Decision Trees with Parallel Genetic Programming
Canary Islands, Spain
January 09-January 11
ISBN: 0-7695-1444-8
ASCII Text
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G. Folino, C. Pizzuti, G. Spezzano, "Improving Induction Decision Trees with Parallel Genetic Programming," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 0181, 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing (EUROMICRO-PDP 2002), 2002.
 
 
BibTex
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@article{ 10.1109/EMPDP.2002.994264,
author = {G. Folino and C. Pizzuti and G. Spezzano},
title = {Improving Induction Decision Trees with Parallel Genetic Programming},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {2002},
issn = {1066-6192},
pages = {0181},
doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.2002.994264},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
TI - Improving Induction Decision Trees with Parallel Genetic Programming
SN - 1066-6192
SP
EP
A1 - G. Folino,
A1 - C. Pizzuti,
A1 - G. Spezzano,
PY - 2002
KW - Decision Trees
KW - Genetic programming
KW - classification
KW - parallel processing
VL - 0
JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
ER -
 
G. Folino, ISI-CNR
C. Pizzuti, ISI-CNR
G. Spezzano, ISI-CNR
A parallel genetic programming approach to induce decision trees in large data sets is presented. A population of trees is evolved by employing the genetic operators and every individual is evaluated by using a fitness function based on the J-measure. The method is able to deal with large data sets since it uses a parallel implementation of genetic programming through the grid model. Experiments on data sets from the UCI machine learning repository show better results with respect to C5. Furthermore, performance results show a nearly linear speedup.
Index Terms:
Decision Trees, Genetic programming, classification, parallel processing
Citation:
G. Folino, C. Pizzuti, G. Spezzano, "Improving Induction Decision Trees with Parallel Genetic Programming," pdp, pp.0181, 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing (EUROMICRO-PDP 2002), 2002
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