【摘要】 用粗糙集进行数据挖掘是近年来被采用的一种新的有效方法 ,本文针对传统粗糙集分类方法过于严格 ,对噪音过分敏感的缺点 ,提出了改进的粗糙集挖掘模式及相应面向属性的约简算法和实现步骤更多还原

【Abstract】 Rough Set is a effective method on Data Mining rised in recent years.But its objects classify is strict excessively and too sensitive on noise. In this thesis, I improve on normal Rough Set Model aim at uncertain information and noise data and give an approach of attribute oriented reduction.更多还原