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A New Kind of Tuple for Spatial Data Mining

机译:一种新型的空间数据挖掘元组

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摘要

During the past years, it is well known that data mining has made a lot of achievement in business-typed fields. In this case, the research emphasis on data mining and knowledge discovery has inevitably be shifted from non-spatial data into spatial data. Spatial data mining is is a key technology of "3S", as well as important research content of "Digital Earth". The first thing come into contact with is to decide tuples to be dealed with while carrying out algorithms concerned. In this paper, a new kind of tuple, which is named "mesh-shaped" tuple, is proposed. This kind of tuple takes on larruping characters, it has fields similar to spatial entity and attributes similar to pixel of images. To test feasibility of the new tuple, a practical study case is designed. The whole process of operation demonstrates how to use "mesh-shaped" tuple, and the results indicates that our technical notion is feasible and successful. The new tuple provides a novel technical means to spatial data, and this performance enrichs approach of spatial data mining. The research notion in this paper has shown its significance in science and applications.
机译:在过去的几年中,众所周知,数据挖掘在业务类型领域取得了许多成就。在这种情况下,对数据挖掘和知识发现的研究重点不可避免地从非空间数据转移到空间数据。空间数据挖掘是“ 3S”的关键技术,也是“数字地球”的重要研究内容。首先要进行的是在执行相关算法时确定要处理的元组。本文提出了一种新的元组,称为“网状”元组。这种元组具有丰富的字符,它的字段类似于空间实体,属性类似于图像像素。为了测试新元组的可行性,设计了一个实际的研究案例。整个操作过程演示了如何使用“网状”元组,结果表明我们的技术概念是可行和成功的。新的元组为空间数据提供了一种新颖的技术手段,这种性能丰富了空间数据挖掘的方法。本文的研究概念已经表明了其在科学和应用中的意义。

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