A distance-based outlier detection method that finds the top outliers in an unlabeled data set and provides a subset of it, called outlier detection solving set, that can be used to predict the outlierness of new unseen objects, is proposed. The solving ...
Minimal Infrequent Pattern based Outlier Detection.An algorithm for mining minimal infrequent patterns in data streams.Three simple factors deciding outliers.An algorithm for detecting outliers based on mined minimal infrequent patterns.Experimental ...
Defining outliers by their distance to neighboring data points has been shown to be an effective non-parametric approach to outlier detection. In recent years, many research efforts have looked at developing fast distance-based outlier detection ...
Springer-Verlag
Berlin, Heidelberg
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