Referenced Items are not available for this document.
A new family of algorithm called Cline that provides a number of methods to construct and use multivariate decision trees is presented. We report experimental results for two types of data: synthetic data to visualize the behavior of the algorithms and publicly available eight data sets. The new methods have been tested against 23 other decision-tree construction algorithms based on benchmark data sets. Empirical results indicate that our approach achieves better classification accuracy compared to other algorithms.
Published in:
Neural Networks, IEEE Transactions on
(Volume:19
,
Issue:
2
)
Date of Publication: Feb. 2008
- Page(s):
- 356 - 363
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 9794252
- Digital Object Identifier :
- 10.1109/TNN.2007.910729
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 February 2008
- Issue Date :
- Feb. 2008
- Sponsored by :
- IEEE Computational Intelligence Society
- PubMed ID :
- 18269966
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