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Study on visualization of Spatial Data Mining and Knowledge Discovery

机译:空间数据挖掘与知识发现的可视化研究

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Spatial data usually show as vector maps or raster images. The vector maps are composed of points, lines and polygons, while raster images are composed of grids. Spatial data have different character from common data, which makes it difficult to find knowledge from spatial database than from common database. Spatial Data Mining and Knowledge discovery (SDMKD) is considered as an advanced process to extract novel and interesting models from spatial database. However, visualization is a technique which can deal with substantive data and show this process as figures, images and charts by computers. But, SDMKD and visualization always keep separate and develop independently. A basic and important problem about visualization supporting SDMKD is seldom concerned. To make the process of SDMKD efficient and intuitional, this paper has a preliminary study on visualization of SDMKD through a mutual operation between the human and the computer. It realizes the visualization of data rebuilding and the process of data mining. Some techniques of visualization are used such as charts, maps, figures and images.
机译:空间数据通常显示为矢量地图或光栅图像。向量映射由点,线条和多边形组成,而光栅图像由网格组成。空间数据具有来自常见数据的不同字符,这使得难以从空间数据库中找到知识而不是来自公共数据库。空间数据挖掘和知识发现(SDMKD)被视为从空间数据库中提取新颖和有趣模型的高级过程。然而,可视化是一种可以处理实质数据的技术,并将该过程显示为计算机,图像和图表。但是,SDMKD和可视化始终保持独立和开发。关于支持SDMKD的可视化的基本和重要问题很少有关。为了使SDMKD高效和直观的过程,本文通过人员和计算机之间的相互操作进行了初步研究了SDMKD。它意识到数据重建的可视化和数据挖掘过程。使用一些可视化技术,例如图表,地图,图和图像。

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