Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach

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	Similar Articles Articles by Estevam R. Jr. Hruschka Articles by Edimilson B. dos Santos Articles by Sebastian D. C. de O. Galvao

7th International Conference on Hybrid Intelligent Systems (HIS 2007)

Kaiserslautern, Germany

September 17-September 19

ISBN: 0-7695-2946-1

	ASCII Text	x
	Estevam R. Jr. Hruschka, Edimilson B. dos Santos, Sebastian D. C. de O. Galvao, "Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach," Hybrid Intelligent Systems, International Conference on, pp. 204-209, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007.

	BibTex	x
	@article{ 10.1109/HIS.2007.67, author = {Estevam R. Jr. Hruschka and Edimilson B. dos Santos and Sebastian D. C. de O. Galvao}, title = {Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2946-1}, pages = {204-209}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2007.67}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach SN - 0-7695-2946-1 SP204 EP209 A1 - Estevam R. Jr. Hruschka, A1 - Edimilson B. dos Santos, A1 - Sebastian D. C. de O. Galvao, PY - 2007 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Estevam R. Jr. Hruschka, Universidade Federal de Sao Carlos, Brazil.

Edimilson B. dos Santos, Universidade Federal de Sao Carlos, Brazil.

Sebastian D. C. de O. Galvao, Universidade Federal de Sao Carlos, Brazil.

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2007.67

This work proposes, implements and discusses a hybrid Bayes/Genetic collaboration (VOGACMarkovPC) designed to induce Conditional Independence Bayesian Classifiers from data. The main contribution is the use of MarkovPC algorithm in order to reduce the computational complexity of a Genetic Algorithm (GA) designed to explore the Variable Orderings (VOs) in order to optimize the induced classifiers. Experiments performed in a number of datasets revealed that VOGAC-MarkovPC required less than 25% of the time demanded by VOGAC-PC on average. In addition, when concerning the classification accuracy, VOGAC-MakovPC performed as well as VOGAC-PC did.

Citation:

Estevam R. Jr. Hruschka, Edimilson B. dos Santos, Sebastian D. C. de O. Galvao, "Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach," his, pp.204-209, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007

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