针对空间离群数据 spatial outlier detection
The outlier detection data and it’s mining are defined, the four methods of spatial outlier detection are surveyed. A novel method of Spatial Outlier Detection Algorithm Based attributive correlation is introduced.
研究属性相关下空间离群点挖掘实施模式,介绍离群数据和离群数据挖掘的定义,描述离群数据中的四种主要发现方法,并且研究离群算法在CAD中的实施情况。
参考来源 - 基于地理信息系统空间数据挖掘若干关键技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
摘要：空间离群模式探测是空间数据挖掘的一个研究热点。
Abstract: spatial outlier detection is a research hotspot in the domain of spatial data mining.
利用SLDF度量空间点对象的离群程度，计算空间数据集中点对象的SLDF值并对其进行排序，将取值较大的前M个点对象作为空间离群点。
The algorithm uses SLDF to measure the deviate degree of space points object. It calculates all the points' SLDF, sorts by their values, and uses the top M as the space outlier.
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