基于粗糙集的经济空间数据发掘与知识发现  

Data Mining and Knowledge Discovery of Economic Space Based Rough Sets

作　　者：杨先卫[1] 张甫宽[1] 陈德彝[1] 

机构地区：[1]三峡大学理学院,湖北宜昌443002

出　　处：《三峡大学学报（自然科学版）》2005年第5期430-433,共4页Journal of China Three Gorges University：Natural Sciences

摘　　要：为了获取区域经济发展的潜在规律和规则,提出一种处理经济空间数据库的信息方法,即利用粗糙集理论对经济空间数据库进行离散化处理后建立决策表,再通过对知识的简化和属性值的约简,从中进行数据发掘和知识发现.以此对江苏省2003年的部分经济指标数据进行了实证探讨.For obtaining the latent law and rule of regional economic development, a sort of method of dealing with economic space database is introduced. First, it sets up the decision-making table after discretely disposing of the economic space database based rough sets theory. Second, it carries through the data mining and knowledge discovery by knowledge predigesting and property predigesting. Finally, the economic data of Jiangsu Province are researched by using this method.

关 键 词：粗糙集 经济空间 数据发掘 知识发现 

分 类 号：O29[理学—应用数学]