空间数据挖掘方法综述  

Summarization of Spatial Data Mining Methods

作　　者：谢远飞[1] 刘洋[1] 李海军[1] 

机构地区：[1]中国矿业大学,北京100083

出　　处：《全球定位系统》2010年第5期65-68,75,共5页Gnss World of China

摘　　要：空间数据挖掘和知识发现是空间数据库技术、空间数据获取技术、计算机技术、网络通信技术和管理决策支持技术等发展到一定阶段的产物,是多学科相互交融和相互促进的新兴边缘学科,汇集了人工智能、模式识别、数据库、空间信息学、统计学等各学科技术的成果。如何在浩瀚的空间数据和人们的知识渴求之间建立一个桥梁的确是一个巨大的挑战,而以聚类、分类等人工智能技术为基础的空间数据挖掘为迎接这个挑战提供了新的支撑技术。总结了空间数据挖掘方法的国内外研究现状,为深入研究空间数据挖掘方法提供参考价值。Spatial data mining and knowledge finding are the result of spatial database technique, spatial data getting technique, computer technique, network communications technique and management decision-making supporting technique＇ s development, it is the new edge subject of multi-subject mingling and mutual improvement, marshaling production of artificial intelligence, mode identifying, database, spatial information, statistics and so on. How to build a bridge between huge spatial data and people＇s aspiration of knowledge is really a huge challenge, but spatial data mining which is based on clustering and classifying intelligent technique supports the new technique for the challenge. As the strong back- ground, the article summarizes the intestine and overseas research condition of spatial data mining methods, supplying an approach for spatial data mining research.

关 键 词：空间数据挖掘 知识发现 方法 

分 类 号：TP309.13[自动化与计算机技术—计算机系统结构] TP18[自动化与计算机技术—计算机科学与技术]