Jul 1, 2009 · ABSTRACT. How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of.

Jun 28, 2009 · We define an intuitive outlier factor based on the principle of the Minimum Description Length together with an novel algorithm for outlier ...

The basic idea of CoCo relates outlier detection to data compression: Outliers are objects which can not be effectively compressed given the data set, ...

CoCo [16] , a technique for parameter-free outlier detection, is based on the ideas of data compression and coding costs. CoCo used MDL to define an intuitive ...

Bibliographic details on CoCo: coding cost for parameter-free outlier detection.

CoCo: Coding Cost for Parameter-free Outlier Detection ; Event Location. Paris, France ; Event Type. Conference ; Event Dates. 28 Jun - 1 Jul 2009 ; Page Range. pp.

Feb 10, 2015 · We define an intuitive outlier factor based on the principle of the Minimum Description Length together with an novel algorithm for outlier ...

Christian Böhm, Katrin Hägler, Nikola Müller, Claudia Plant: Coding Cost for Parameter-free Outlier Detection. to appear in Proc. 15th ACM SIGKDD Int. Conf ...

Parameter-Free Anomaly Detection for Categorical Data. Conference paper. pp 112 ... CoCo: Coding Cost for Parameter-Free Outlier Detection. In: KDD 2009 (2009).