13-26 September 2015
Eastern Macedonia and Thrace Institute of Technology
Europe/Athens timezone

Density-based Outlier Detection

25 Sep 2015, 10:30
10m
Eastern Macedonia and Thrace Institute of Technology

Eastern Macedonia and Thrace Institute of Technology

Kavala,Greece

Speaker

Michael Davis (CERN)

Description

Often we have a dataset where most of the data is produced by a known mechanism (or several mechanisms) which we understand, but some data is produced by a different process. In such cases we can consider the known processes as background to detect the signal. However, what about the case where we do not have knowledge about the underlying processes, but want to detect which part of our dataset is unusual or anomalous? One method that can be used in this case is density-based outlier detection, where each data point is considered in relation to its local neighbourhood.

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