摘要
研究各种高性能和高可扩展性的分类算法是数据挖掘面临的主要问题之一。基于粗集理论的分类规则挖掘是一种重要的方法 ,在分析有关算法的基础上提出一种改进方法 ,并通过实例证明了该方法的效率有所提高。此外 ,还提出了一种分类规则约简方法 ,使挖掘的结果更简洁、更易理解。
Data classification is an important task of data mining, to develop high-powered and expensibale classification algorithm is one of the key problems for data mining. This paper studies the realization technology to discover classification rules based on rough set method and puts forward an improved algorithm and also proves its efficiency with examples. The paper also gives a rule reduction method to make the results succinct and understandable.
出处
《计算机应用》
CSCD
北大核心
2001年第12期29-31,共3页
journal of Computer Applications
基金
国家自然科学基金项目 (79970 0 92 )
