空间数据挖掘与普通数据挖掘的不同特征

数据挖掘通常被定义为搜索、分析和筛选大量的数据的过程,发现它们之间的关系、模式或者任何的显著统计相关性。空间数据挖掘(SDM)是从大型空间数据集中发现有趣的、有用的信息和知识模式的过程。由于空间数据类型、空间关系,和空间自相关的复杂性,从空间数据集中提取有趣和有用的模式,比从传统意义上的数字型数据提取相应的模式要困难得多,该文对比空间数据挖掘与传统数据挖掘的不同特点。

Spatial Data Mining and Different Characteristics of Common Data Mining

Data mining is generally defined as search,analyze and process of screening large amounts of data and found that the relationship between them,patterns or any significant statistical correlation.Spatial Data Mining(SDM) is found from the large spatial data sets of interesting,useful information and knowledge model process.Since spatial data types,spatial relations,and the complexity of spatial autocorrelation,spatial data sets extracted from the interesting and useful patterns,than from traditional numeric ...