摘要
数据挖掘是通过对大量数据进行分析,采用多种分析方法发现其中未知和有用规律的过程.在"数字城市"建设中对海量的多元空间数据的挖掘是极其重要的和极具价值的,具有广阔的应用前景.对"数字城市"建设中的多元空间数据挖掘的步骤、挖掘方法进行了分析,对多元空间数据挖掘在城市规划管理平台、城市可持续发展信息平台、城市经济信息平台等方面的应用进行了讨论.
Data mining is the extracting process of unknown and usable rules from large database with many analysis methods. Multi-source spacial data mining is very meaningful and valuable for the construction of digital city, which has a wide application foreground. This paper mostly analyses the steps, the main methods of the multi-source spacial data mining and discusses the applications of the multi-source spacial data mining in city plan management, city sustainable development, and city economic management.
出处
《广州大学学报(自然科学版)》
CAS
2004年第2期126-129,共4页
Journal of Guangzhou University:Natural Science Edition
关键词
数字城市
多元空间数据挖掘
数据可视化
digital city
multi-source spacial data mining
data visualization