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Scale-Dependent Spatial Data Mining

机译:尺度依赖的空间数据挖掘

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摘要

Scale is a major concept in many sciences concerned with human activities and physical processes occurring in the world, and directly related to many investigations of spatial objects, including the procedure of spatial data mining. In this paper, we attempt to apply the spatial data mining to the field of coal mining, and the technical notion is to generate patterns or rules by means of different scale databases that depict the same subject. The whole research procedure gives readers an understanding of how processes operate at different scales and how they can be linked across scales. At the same time, our study actually presents a new method of image mining as well.
机译:规模是许多科学的主要概念,涉及世界上发生的人类活动和物理过程,并直接与空间物体的许多调查相关,包括空间数据挖掘的程序。在本文中,我们试图将空间数据挖掘应用于煤炭挖掘领域,技术概念是通过描绘相同主题的不同规模数据库来生成模式或规则。整个研究程序使读者了解过程如何在不同的尺度上运行以及它们如何跨尺度链接。与此同时,我们的研究实际上也提出了一种新的图像挖掘方法。

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