摘要
针对空间分类数据的特性,提出一种空间分类数据同位规则挖掘算法.利用空间关系定义数据挖掘中事务的概念,采用多层参与索引搜索空间同位规则,从而实现了对空间分类数据的有效处理.采用文中算法对杭州地区119火灾数据进行实验,并验证了该算法的适用范围和性能.实验表明,该算法可以有效地处理经过离散化后的连续数据.
Concerning the categorical characteristics of spatial data, a rule-based spatial co-location method in categorical data is introduced. This algorithm defines the transaction of data mining by using spatial relation and finds the co-location rules by using the multi-layer participation index. It can solve the problem effectively. Some experiments have been made on fire data in a city by this method. The range of applications and the performance of this approach are analyzed, and it proves that the rule-based spatial colocation approach in categorical data is applicable to other continuous data after being discreted, with good results obtained.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2005年第10期2339-2344,共6页
Journal of Computer-Aided Design & Computer Graphics
关键词
空间同位
邻域
规则
分类数据
patial co-location
neighborhood set domain
rule
categorical data
