Hans-Peter Kriegel, Peer Kröger, Erich Schubert and Arthur Zimek
LoOP: Local Outlier Probabilities

It's an outlier detection method based on LOF (Local Outlier Factor) but a bit more statistically robust and with an easier to interpret score. Given the statistical backing, it works reasonably well on samples such as data pages of an appropriate index structure, reducing complexity to linear for the approximative version.

This publication is a bit special to me: I suggested the approach to my colleagues and they gave me the abstract and title for my birthday. :-)

This week I'm at the 11th International Symposium on Spatial and Temporal Databases in Aalborg, Denmark.

My demo was yesterday, titled:

Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek:
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series.

While this release visible only adds a small piece - some distance functions for time series and some related visualization code - it still marks a major milestone in ELKI development. Large parts of ELKI were reorganized and rewritten (such as all the output handling code) and lots of stuff added, including a lot of visualization related code that is not yet completely used in this release.