中文摘要：

提出了一种基于包含关系的空间面对象条件离群检测算法DCOP-IR（detecting conditional outlier polygonsbased on inclusion relations）,该算法针对空间面对象的包含关系和非空间属性,定义了一种相似度度量方法,利用基于密度的离群查找算法,先检测出整体的空间离群对象,然后在一定的条件属性下检测空间条件离群对象。实验结果表明,算法DCOP-IR能准确地检测出满足一定条件属性的空间离群对象,并具有较高的效率。

英文摘要：

A new algorithm DCOP-IR was proposed for detecting conditional outlier polygons based on inclusion relations.In this algorithm,inclusion relations and non-spatial attributes were used as similarity measurement criteria,and a density-based outlier detecting algorithm was first used for detecting spatial outliers for all database,then it was used for detecting spatial outliers which satisfy some certain conditions.The experimental results showed that DCOP-IR was effective and efficient.