Abstract:

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.

Key words: inclusion relations, spatial outliers, conditional outliers