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EPIA'03 - 11th Portuguese Conference on Artificial Intelligence
EKDB -- International Workshop on Extraction of Knowledge from Data Bases
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Session: December 5, 10:0-11:30, Room A |
Title: |
BAYES-NEAREST: a new Hybrid classifier Combining Bayesian Network and Distance Based algorithms |
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Elena Lazkano and Basilio Sierra |
Abstract: |
This paper presents a new hybrid classifier that combines the probability
based Bayesian Network paradigm with the Nearest Neighbor distance
based algorithm. The Bayesian Network structure is obtained from the data
by using the K2 structural learning algorithm. The Nearest Neighbor
algorithm is used in combination with the Bayesian Network in the
deduction phase. For those data bases in which some variables are continous
valued, automatic discretizations of the data are performed. We show the
performance of the new proposed approach compared with the Bayesian Network
paradigm and with the well known Naive Bayes classifier in some standard
databases; the results obtained by the new algorithm are better
or equals using the Wilcoxon statistical test.
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