GIS空间关联规则挖掘研究  

Research on spatial association rule mining in GIS

作　　者：杨莉[1] 金俐伶[1] 易增林 

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000 [2]江西省第一测绘院,江西南昌330001

出　　处：《测绘工程》2008年第2期19-21,共3页Engineering of Surveying and Mapping

摘　　要：提取不同对象或现象间相互联系的空间规律,发现、解释或预测空间现象或事件,是GIS空间关联规则挖掘价值的体现。通过对目前的空间关联规则挖掘理论和实例的研究,分析了挖掘过程涉及到的基本问题:挖掘实施的基本步骤、开发路线、挖掘有效性的保证,挖掘方法及优化策略等,得到了实用的挖掘的一般方法,也对挖掘的应用实例进行了分析,展望了应用前景。The value of spatial association rule mining in GIS is shown in aquiring related spatial rules among different objects or phenomena to find and explain or predict spatial phenomenon or events. Analysis is made on the fundamental problems in the course of spatial association mining through research on the current spatial asssociation mining theory and practical cases. The problems include the basic steps in data mining, developing courses, the mining methods and optimization strategies. The practical cases of spatial association mining are analyzed and provided the prospect.

关 键 词：GIS 空间关联规则挖掘 泛化 专家知识 概念树 

分 类 号：P208[天文地球—地图制图学与地理信息工程]