论空间数据挖掘和知识发现的理论与方法

Theories and Technologies of Spatial Data Mining and Knowledge Discovery

摘要: 首先分析了空间数据挖掘和知识发现(SDMKD)的内涵和外延;然后分别研究了用于SDMKD的概率论、证据理论、空间统计学、规则归纳、聚类分析、空间分析、模糊集、云理论、粗集、神经网络、遗传算法、可视化、决策树、空间在线数据挖掘等理论和方法及其进展;最后展望了SDMKD的发展前景。

Abstract: The good methods and technologies of spatial data mining and knowledge discovery(SDMKD) may get excellent knowledge.This paper presents an overview on SDMKD.First,the concept of SDMKD is discussed.Then,this paper describes the theories and technologies on SDMKD,such as probability theory,evidence theory,spatial statistics,rules induction,clustering analysis,spatial analysis,fuzzy sets,rough sets cloud theory,neural network,genetic algorithms,visualization,decision tree,spatial online analytical mining.Finally,how to study SDMKD is forecasted.