|
|||||
|
|
| 连续值属性决策表中的知识获取方法 | |
| 引用本文： | 冯林,王国胤,李天瑞.连续值属性决策表中的知识获取方法[J].电子学报,2009,37(11):2432-2438. |
| 作者姓名： | 冯林 王国胤 李天瑞 |
| 作者单位： | 1. 四川师范大学计算机科学学院,四川成都,610366;重庆邮电大学计算机科学与技术研究所,重庆,400065;西南交通大学信息科学与技术学院,四川成都,610031 2. 重庆邮电大学计算机科学与技术研究所,重庆,400065 3. 西南交通大学信息科学与技术学院,四川成都,610031 |
| 基金项目： | 国家自然科学基金，新世纪优秀人才支持计划，重庆市杰出青年科学基金，重庆市自然科学基金重点项目，四川师范大学科研基金 |
| 摘 要： | 提出了一种从连续值属性决策表中获取知识的方法KACVA(Knowledge Acquisition from decision tables containing Continuous-Valued Attributes).该方法将经典粗糙集理论对数据空间的等价划分转换为相似划分,把传统粗糙集理论中正域的表示方法扩充到连续值属性决策表中;通过计算连续值属性决策表中各条件聚类对决策类的分类能力,生成决策规则.不同数据集的实验测试结果表明:对连续值属性决策表中的知识获取,KACVA方法与传统的粗糙集相关知识获取方法及C4.5决策树分类方法相比,有更高的分类准确率. |
| 关 键 词： | 粗糙集 属性约简 知识获取 离散化 |
| 收稿时间： | 2008-07-04 |
Knowledge Acquisition from Decision Tables Containing Continuous-Valued Attributes |
|
| FENG Lin,WANG Cuo-yin,LI Tian-rui.Knowledge Acquisition from Decision Tables Containing Continuous-Valued Attributes[J].Acta Electronica Sinica,2009,37(11):2432-2438. | |
| Authors: | FENG Lin WANG Cuo-yin LI Tian-rui |
| Affiliation: | FENG Lin1,2,3,WANG Guo-yin2,LI Tian-rui3(1.College of Computer Science,Sichuan Normal University,Chengdu,Sichuan 610066,China,2.Institute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,3.School of Information Science and Technology,Southwest Jiaotong University,Sichuan 610031,China) |
| Abstract: | An approach for Knowledge Acquisition from decision tables containing Continuous-Valued Attributes(KACVA) is developed.The equivalence partition in the classical rough sets theory is converted into a similarity partition.A novel representation method of the positive region in decision tables with continuous-valued attributes is built.Through calculating classification abilities of each conditional cluster to decision classes,decision rules in decision tables containing continuous-valued attributes are gener... |
| Keywords: | rough sets attribute reduction knowledge acquisition discretization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《电子学报》浏览原始摘要信息 | |
| 点击此处可从《电子学报》下载全文 | |
