摘要
粗糙集理论作为一种智能数据分析和数据挖掘的新的数学工具,其主要优点在于它不需要任何关于被处理数据的先验或额外知识.提出了一种基于粗糙集理论的智能数据分析模型,从目标数据集出发,通过数据预处理、数据分类和规则获取,实现对原始数据集的智能分析,并通过实例测试验证了该模型的有效性.
Rough set theory is a new mathematical tool for intelligent data analysis and data mining, the main advantage of which is it doesn＇t require any prior or additional knowledge about the data. Intelligent data analysis model based on rough set theory is prop osed, it starts from target data set and accomplishes intelligent analysis to initial data by data preprocessing, data classification and rule acquisition. Moreover, the validity of the proposed model is showed through the test on instance.
出处
《数学的实践与认识》
CSCD
北大核心
2007年第12期109-114,共6页
Mathematics in Practice and Theory
基金
河南省自然科学基金(0211050200)
关键词
粗糙集
智能数据分析
数据挖掘
rough set
intelligent data analysis
data mining
