节点文献
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
【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.
【Abstract】 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;
【Key words】 rough sets; economic space; data mining; knowledge discovery;
【Key words】 rough sets; economic space; data mining; knowledge discovery;
- 【文献出处】 三峡大学学报(自然科学版) ,Journal of University of Hydraulic and Electric Engineering/yichang , 编辑部邮箱 ,2005年05期
- 【分类号】F224;
- 【被引频次】3
- 【下载频次】149