摘要
基于空间数据的尺度特性,提出了多尺度空间数据挖掘的技术思想,建立了同一地理要素在不同尺度下的信息推理模型,即多尺度空间数据挖掘框架模型.以矿井煤层厚度为研究对象,以聚类分析为挖掘技术,实现了多尺度分析思想应用于空间数据挖掘领域的设想,证实了空间数据挖掘领域中的多尺度现象.研究成果丰富和发展了空间数据挖掘的基础理论.
Based on the scale characteristic of spatial data, a technology notion of multi-scale spatial data mining was proposed. Information reasoning model of a geographical entity under different scale, namely multi-scale spatial data mining model, was put forward. For fulfilling this original plan, thickness of coalseams in a coal mine is taken as the experiment case and fuzzy clustering is adopted as the technical method for multi-scale analysis in the spatial data mining. The research findings validate the existing of multi-scale phenomenon in spatial data mining, and enrich the theory of data mining.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2008年第2期194-197,201,共5页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(60275021)
关键词
空间数据挖掘
多尺度
模糊聚类
spatial data mining
multi-scale
fuzzy clustering
