Adaptive outlierness for subspace outlier ranking
Emmanuel Müller, Matthias Schiffer, Thomas Seidl · 2010
Outlier mining is an important data analysis task to distinguish exceptional outliers from regular objects. However, in recent applications traditional outlier mining approaches miss outliers as they are hidden in subspace projections.