基于空间统计分析的关联规则应用研究

An Investigation of Association Rules Based on Spatial Statistical Analysis

1引言 在数据挖掘的研究领域,对于关联规则挖掘的研究开展得比较积极和深入.关联规则挖掘就是要找出隐藏在数据间的相互关系,它展示了数据间未知的依赖关系,根据这种关联性就可从某一数据对象的信息来推断另一数据对象的信息.文[1～6]对关联规则的挖掘作了有意义的研究.

This paper leads spatial statistical analysis to data mining. Spatial autocorrelation can be used to analyze spatial distribution feature of spatial data. G statistics can be used to analyze spatial association of spatial data. This paper also analyzes population growth rate in 1982-1990 and 1990-1998 in China. The spatial association of population growth rate in two periods is studied with spatial statistics methods as well. In 1982-1990, China is divided into four regions: lower population growth rate in north sub-region, higher population growth rate in center and west sub-region, lower population growth rate in center and east sub-region and higher population growth rate in south sub-region. In 1990- 1998, China is divided into two regions: lower population growth rate in north sub-region and higher population growth rate in south sub-region. All these results are according to the factor of China. From these results we can see that spatial statistical analysis is an effective method of data mining.