Quadratic programming for class ordering in rule induction

作     者：Yildiz, Olcay Taner 

作者机构：Isik Univ Sile Istanbul Turkey 

出 版 物：《PATTERN RECOGNITION LETTERS》 (模式识别快报)

年 卷 期：2015年第54卷

页      面：63-68页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Rule induction Quadratic programming Class ordering 

摘      要：Separate-and-conquer type rule induction algorithms such as Ripper, solve a K2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in the order of increasing prior probabilities. Although the heuristic works well in practice, there is much room for improvement. In this paper, we propose a novel approach to improve this heuristic. The approach transforms the ordering search problem into a quadratic optimization problem and uses the solution of the optimization problem to extract the optimal ordering. We compared new Ripper (guided by the ordering found with our approach) with original Ripper (guided by the heuristic ordering) on 27 datasets. Simulation results show that our approach produces rulesets that are significantly better than those produced by the original Ripper. (C) 2015 Elsevier B.V. All rights reserved.