Retrieving Classification Rules Based on Indiscernibility Relation

摘要：

A novel algorithm to mine classification rules based on the importance of attribute value is supposed. This algorithm views the importance as the number of tuple pair that can be discernible by the attribute, and the rules obtained from the constructed decision tree is equivalent to those obtained from ID3, which can be proved by the idea of rule fusion. However this method is of low computation, and is more suitable to large database.

关键词： decision rules decision tree irule fusion troughset

作者: Baowei Song Baowei Zhang Chunxue Wei

作者单位: School of Computer and Communication Engineering Zheng Zhou University of Light Industry Zheng Zhou School of Light Chemical Engineering Henan Industry Design School Zheng Zhou 450002, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 200-202

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）