Cline: A new decision-tree family

Amasyalı M. F., Ersoy O.

IEEE TRANSACTIONS ON NEURAL NETWORKS, vol.19, no.2, pp.356-363, 2008 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 2
  • Publication Date: 2008
  • Doi Number: 10.1109/tnn.2007.910729
  • Journal Name: IEEE TRANSACTIONS ON NEURAL NETWORKS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.356-363
  • Keywords: classifier combination, decision forests, decision trees, learning (artificial intelligence), machine learning, multivariate decision trees, pattern classification, pattern recognition, SELECTION
  • Yıldız Technical University Affiliated: Yes

Abstract

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.