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基于关联规则的空间数据知识发现及实现
引用本文:倪凯,祝晓东,张超.基于关联规则的空间数据知识发现及实现[J].计算机应用与软件,2005,22(12):34-35,87.
作者姓名:倪凯  祝晓东  张超
作者单位:华东师范大学资源与环境学院城市地理信息系统实验室,上海,200062;浙江万里学院基础学院,浙江,宁波,315100
摘    要:空间数据挖掘就是从空间数据库中抽取隐含知识、空间关系及空间数据库中存储的其它模式的方法。空间关联规则是空间数据挖掘的一个重要表现形式,利用空间关联规则把空间数据库中的数据转化为知识是一个很好的方法。本文在分析空间关联规则的基础上,用基于关联规则的逐步求精挖掘算法,得出空间数据库中的知识,通过实例证明其方法的可行性。

关 键 词:空间数据  数据库知识发现  关联规则  MapObjects
收稿时间:2004-03-11
修稿时间:2004-03-11

AN IMPLEMENTATION OF SPATIAL DATA KNOWLEDGE DISCOVERY IN DATABASES BASED ON ASSOCIATION RULES
Ni Kai,Zhu Xiaodong,Zhang Cao.AN IMPLEMENTATION OF SPATIAL DATA KNOWLEDGE DISCOVERY IN DATABASES BASED ON ASSOCIATION RULES[J].Computer Applications and Software,2005,22(12):34-35,87.
Authors:Ni Kai  Zhu Xiaodong  Zhang Cao
Affiliation:1. Lab. of Urban Geographic Information System,Institute of Resources and Environment, ECNU, Shanghai 200062, China; 2 . Junior College, Zhefiang Wanli University, Ningbo Zhejiang 315100, China
Abstract:Spatial Data Mining is a method that gets connotative knowledge, spatial relationship and other modes in spatial database. Spatial Association Rule discovery in spatial database is a very important data mining task. A spatial association rule is a rule indicating certain association relationship among a set of spatial predicates. In this paper, based on analyzing spatial association rules, an efficient method for mining spatial association rules with spatial analysis in geographic information databases is proposed.
Keywords:Spatial data Knowledge discovery in databases Association nules MapObjects
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