title: Cline: a new decision-tree family.
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.
authors.affiliation: Computer Engineering Department , Yildiz Technical University, Istanbul 34349, Turkey. mfatih@ce.yildiz.edu.tr
authors.forename: M F
authors.initials: MF
authors.lastname: Amasyali
authors.forename: O
authors.initials: O
authors.lastname: Ersoy
mesh_terms: D000465:Algorithms; D003663:Decision Trees; D016247:Information Storage and Retrieval; D007858:Learning / Q000502:physiology*; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated