Outlier Detection in Arbitrarily Oriented Subspaces
Outlier Detection in Arbitrarily Oriented Subspaces
In this paper, we propose a novel outlier detection model to find outliers that deviate from the generating mechanisms of normal instances by considering combinations of different subsets of attributes, as they occur when there are local correlations in the data set. Our model enables to search for outliers in …