A Comparative Study of RNN for Outlier Detection in Data Mining

Authors:
Graham Williams;Rohan Baxter;Hongxing He;Simon Hawkins;Lifang Gu
Affiliations:
-;-;-;-;-
Venue:
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Year:
2002

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Abstract

We have proposed replicator neural networks (RNNs)for outlier detection [8]. Here we compare RNN for outlierdetection with three other methods using both publiclyavailable statistical datasets (generally small) and datamining datasets (generally much larger and generally realdata). The smaller datasets provide insights into the relativestrengths and weaknesses of RNNs. The larger datasetsparticularly test scalability and practicality of application.