Feature selection for the naive bayesian classifier using decision trees
Feature selection for the naive bayesian classifier using decision trees
About this item
Full title
Author / Creator
Publisher
Taylor & Francis Group
Journal title
Language
English
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Publication information
Publisher
Taylor & Francis Group
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Scope and Contents
Contents
It is known that Naive Bayesian classifier (NB) works very well on some domains, and poorly on others. The performance of NB suffers in domains that involve correlated features. C4.5 decision trees, on the other hand, typically perform better than the Naive Bayesian algorithm on such domains. This paper describes a Selective Bayesian classifier (SB...
Alternative Titles
Full title
Feature selection for the naive bayesian classifier using decision trees
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_informaworld_taylorfrancis_310_1080_713827175
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_informaworld_taylorfrancis_310_1080_713827175
Other Identifiers
ISSN
0883-9514
E-ISSN
1087-6545
DOI
10.1080/713827175
