IEEE TRANSACTIONS ON NEURAL NETWORKS, vol.19, no.2, pp.356-363, 2008 (SCI-Expanded)
Article / Article
IEEE TRANSACTIONS ON NEURAL NETWORKS
Science Citation Index Expanded (SCI-EXPANDED), Scopus
classifier combination, decision forests, decision trees, learning (artificial intelligence), machine learning, multivariate decision trees, pattern classification, pattern recognition, SELECTION
Yıldız Technical University Affiliated:
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.