Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7309
Title: 论空间数据挖掘和知识发现
Other Titles: On spatial data mining and knowledge discovery (SDMKD)
Authors: Li, D
Wang, S
Shi, W 
Wang, X
Keywords: Spatial data mining
Knowledge discovery
Machine learning
Issue Date: 2001
Publisher: 武汉大学期刋社
Source: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), Dec. 2001, v. 26, no. 6, p. 491-499 How to cite?
Journal: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University) 
Abstract: 随着现代科技和传感器的发展和应用 ,复杂多变的空间数据日益膨胀 ,远远超出了人的解译能力 ,迫切需要数据挖掘和知识发现为其提供知识。本文研究了空间数据挖掘和知识发现的含义、可发现的空间的关联、特征、分类和聚类等知识 ,以及它与数据挖掘和知识发现、机器学习、地学数据分析、空间数据库、空间数据仓库、数字地球等相关学科的关系 ,概述了SDMKD的产生和发展 ,分析和展望了SDMKD的应用开发
With the application and development of modern science,techniques,micro_and macro_sensors,the tremendous amounts of spatial and nonspatial data have been stored in large spatial databases.These are far begond the human ability to interprete and analyse them,which is badly in need of SDMKD to provide knowledges.This paper presents an overview on SDMKD.First the derivation and development of SDMKD are briefly stated.Second,the concept of SDMKD is discussed.There are various knowledge which can be mined from spatial databases or spatial data warehouse,e.g.spatial association rules,spatial characteristic patterns,spatial classification regularities,spatial clustering rules.Third,SDMDK is told from data mining and knowledge discovery (DMKD),machine learning,geographical data analysis,spatial databases,spatial data warehouse,digital earth,etc.Finally,how to develop SDMKD software is concluded and discussed.
URI: http://hdl.handle.net/10397/7309
ISSN: 1000-050X
EISSN: 1671-8860
Rights: © 2001 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2001 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
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