Conformal prediction for distribution-independent anomaly detection in streaming vessel data
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD '10)
By Goran Falkman, Rikard Laxhammar
Issue Date:July 2010
This paper presents a novel application of the theory of conformal prediction for distribution-independent on-line learning and anomaly detection. We exploit the fact that conformal predictors give valid prediction sets at specified confidence levels under...