Outlier Detection Using Replicator Neural Networks

Author:

Hawkins Simon,He Hongxing,Williams Graham,Baxter Rohan

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. D. H. Ackley, G. E. Hinton, and T. J. Sejinowski. A learning algorithm for boltzmann machines. Cognit. Sci., 9:147–169, 1985.

2. A. C. Atkinson. Fast very robust methods for the detection of multiple outliers. Journal of the American Statistical Association, 89:1329–1339, 1994.

3. A. Bartkowiak and A. Szustalewicz. Detecting multivariate outliers by a grand tour. Machine Graphics and Vision, 6(4):487–505, 1997.

4. M. Breunig, H. Kriegel, R. Ng, and J. Sander. Lof: Identifying density-based local outliers. In Proc. ACM SIGMOD,Int. Conf. on Management of Data, 2000.

5. W. DuMouchel and M. Schonlau. Afast computer intrusion detection algorithm based on hypothesis testing of command transition probabilities. In Proc. 4th Int. Conf. on Knowledge Discovery and Data Mining, pages 189–193, 1998.

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