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Outlier Selection and One Class Classification by Jeroen Janssens

by on Nov 26, 2013

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I present a novel algorithm called Stochastic Outlier Selection (SOS). The SOS algorithm computes for each data point an outlier probability. These probabilities are more intuitive than the unbounded ...

I present a novel algorithm called Stochastic Outlier Selection (SOS). The SOS algorithm computes for each data point an outlier probability. These probabilities are more intuitive than the unbounded outlier scores computed by existing outlier-selection algorithms. I have evaluated SOS on a variety of real-world and synthetic datasets, and compared it to four state-of-the-art outlier-selection algorithms. The results show that SOS has a superior performance while being more robust to data perturbations and parameter settings.

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Outlier Selection and One Class Classification by Jeroen Janssens Outlier Selection and One Class Classification by Jeroen Janssens Presentation Transcript