… issue, yet for global outliers but not for the more challenging patterns of local outliers (shortly …
that achieves both objectives of local outlier detection and interpretation at the same time. …

… A major problem for any user not very acquainted with the outlier detection method in
question is how to interpret this “factor” in order to decide for the numeric score again whether or …

… : • We propose an outlier interpretation method ATON having … to explain outliers detected
by any black-box outlier detection … Local outlier detection with interpretation. In ECML PKDD. …

… to detect local outliers. This paper presents a literature review of local outlier detection algorithms
… It collects and categorizes existing local outlier detection algorithms and analyzes their …

… on interpreting each single outlier oi by solvingi in Equation 2. Sincei is the local classi er …
Discovering cluster-based local outliers. Pa ern Recognition Le ers 24, 9 (2003), 1641–1650…

… For our specific problem of identifying and interpreting local outliers, capturing the local
structure of the data is more important than capturing the global structure (eg, the global data …

… In particular, we revisit spatial outlier detection as a special case of local outlier detection.
This facilitates the comparison of different approaches, helps to understand their similarities …

… Local outlier detection for two variables of the GEMAS data set. Left: 10 most extreme …
may often be the most interesting observations for the interpretation, and usually they are not …

… Nevertheless, the results of the techniques may be interpreted as they are based on well
defined context and comparison functions. In our opinion, it is appropriate, when dealing with …

… In addition to detecting outliers, the problem of interpreting outliers to find … local outlier
detection methods, we will test our approach on other variants of the LOF family of outlier detection …