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空间数据挖掘技术及其智能推理体系结构
Spatial Data Mining Technique and Its Application
【摘要】 面对数据的数量和复杂性急剧增加的问题,首先讨论了数据挖掘技术的研究进展,并对数据挖掘在空间数据库中的应用进行了深入地探讨。然后提出三种基于空间数据挖掘、空间数据仓库、智能决策支持系统(IDSS)和范例推理(CBR)技术的智能推理体系结构,并对这三种体系结构的优劣进行了分析对比,其中以第三种结构为优。最后对空间数据挖掘在各领域中的应用前景以及有待解决的问题进行了展望。
【Abstract】 facing the problem of the increase of amount and complexity of data, the current research situation in data mining is discussed,and then the application of data mining in spatial data base. Three kinds of software architectures are presented based on the integration of spatial data mining, intelligent decision support system and case-based reasoning technique. With their advantage and disadvantage discussed, it is found that the third is good. Finally, the prospect of application of spatial data mining and the existing problem are discussed.
【Key words】 knowledge discovery; data mining; spatial data mining; architecture;
- 【文献出处】 安徽理工大学学报(自然科学版) ,Journal of Anhui University of Science and Technology(Natural Science) , 编辑部邮箱 ,2005年04期
- 【分类号】TP311.13
- 【被引频次】4
- 【下载频次】216