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Research on Integration of Spatial Data Mining and GIS Based on Component Technology

机译:基于组件技术的空间数据挖掘与GIS集成研究

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Spatial Data Mining (SDM) is an important branch of data mining. With the large amount of spatial data stored in a Geographic Information System (GIS) spatial database, many knowledge and laws need to be mined. It makes inevitable integrating SDM with GIS. Firstly, this paper analyzes the advantages and disadvantages of existing general and special data mining systems, and advantages of component technology. Then this paper proposes an idea that integrating SDM with GIS using component technology. Finally we introduce the design of integration component of SDM and GIS, and development application case. The example is used in the field of geology and mineral resources prediction. Results show that this method can quickly build business systems, realize obtaining multi-source data from a large-scale spatial database, and transforming, mining, analyzing data, and so on.
机译:空间数据挖掘(SDM)是数据挖掘的重要分支。由于地理信息系统(GIS)空间数据库中存储了大量的空间数据,因此需要挖掘许多知识和法律。这使得SDM与GIS集成成为必然。首先,本文分析了现有通用数据挖掘系统和特殊数据挖掘系统的优缺点以及组件技术的优势。然后,本文提出了使用组件技术将SDM与GIS集成的想法。最后介绍了SDM与GIS集成组件的设计以及开发应用案例。该示例用于地质和矿产资源预测领域。结果表明,该方法可以快速构建业务系统,实现从大规模空间数据库中获取多源数据,并对数据进行转换,挖掘,分析等。

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