摘要
空间数据挖掘是一种知识决策支持技术,本文以大型综合连锁超市为例,研究了空间分类挖掘方法在连锁超市选址预测中的应用问题。结合连锁超市定位理论,对实验数据进行了选择和处理。同时进行了基于关联的分类实验,得到指导和预测选址的知识,并对预测知识的准确性和可信度进行了检验,结果显示预测准确率和可信度较高。本文制定的挖掘方案可为连锁超市选址预测提供可靠的智能支持。
Spatial data mining is a knowledge decision support technology.It takes large miscellaneous chain supermarket as example and studies the application of spatial data mining in site selection prediction of chain supermarket.With the guide of chain supermarket locating theory,experimental data is selected and processed.Then classification based on association is done and the knowledge used to guide and predict site selection is gotten.Then the nicety and reliability of the knowledge is verified and the result is satisfying.So the spatial data mining scheme set down in this paper can offer credible intelligent support for site selection prediction of chain supermarket.
出处
《测绘与空间地理信息》
2011年第5期148-151,155,共5页
Geomatics & Spatial Information Technology
关键词
连锁超市
选址
空间分类
空间关联
预测
chain supermarket
site selection
spatial classification
spatial association
prediction
