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基于粗糙集的增量式属性约简算法研究
Study on Incremental Reduction of Attribute based on Rough Set Theory
【摘要】 属性约简是粗糙集理论研究中的重要内容之一,现已证明寻找信息系统的最小约简是NP-hard问题。本文参考普通的增量式数据挖掘算法,提出一种改进的增量式属性约简算法,该算法在执行效率上比其他属性约简算法有了很大的提高,最后通过实例分析验证了算法的可行性和有效性。
【Abstract】 Reduction of attribute is one of the important topics in the research on rough set theory.It has been p-roved that finding the minimal reduction of an information system is a NP-hard problem .In this paper,a kind of improved arithmetic about incremental reduction of attribute is proposed,which based on common arithmetic of incremental data mining.value.This algorithm is improved a lot in carrying out efficiency than others.And it has verified feasibility and validity of this algorithm through the instance analysis.
- 【文献出处】 电脑知识与技术 ,Computer Knowledge and Technology , 编辑部邮箱 ,2009年17期
- 【分类号】TP18
- 【被引频次】1
- 【下载频次】108