A comparative study of RNN for outlier detection in data mining

by: G Williams, R Baxter, Hongxing He, S Hawkins, Lifang Gu

IEEE International Conference on Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on (2002), pp. 709-712.

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Abstract

We have proposed replicator neural networks (RNNs) for outlier detection. We compare RNN for outlier detection with three other methods using both publicly available statistical datasets (generally small) and data mining datasets (generally much larger and generally real data). The smaller datasets provide insights into the relative strengths and weaknesses of RNNs. The larger datasets in particular test scalability and practicality of application.

@inproceedings{citeulike:1156307, abstract = {We have proposed replicator neural networks (RNNs) for outlier detection. We compare RNN for outlier detection with three other methods using both publicly available statistical datasets (generally small) and data mining datasets (generally much larger and generally real data). The smaller datasets provide insights into the relative strengths and weaknesses of RNNs. The larger datasets in particular test scalability and practicality of application.}, author = {Williams, G. and Baxter, R. and He, Hongxing and Hawkins, S. and Gu, Lifang }, booktitle = {IEEE International Conference on Data Mining}, citeulike-article-id = {1156307}, journal = {IEEE International Conference on Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on}, keywords = {occ-applications, occ-neural-networks}, pages = {709--712}, posted-at = {2007-03-12 23:18:18}, priority = {2}, title = {A comparative study of RNN for outlier detection in data mining}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1184035}, year = {2002} }

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TY - CONF ID - citeulike:1156307 L3 - citeulike-article-id:1156307 TI - A comparative study of RNN for outlier detection in data mining T2 - IEEE International Conference on Data Mining JF - IEEE International Conference on Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on SP - 709 EP - 712 N2 - We have proposed replicator neural networks (RNNs) for outlier detection. We compare RNN for outlier detection with three other methods using both publicly available statistical datasets (generally small) and data mining datasets (generally much larger and generally real data). The smaller datasets provide insights into the relative strengths and weaknesses of RNNs. The larger datasets in particular test scalability and practicality of application. KW - occ-applications KW - occ-neural-networks AU - Williams, G AU - Baxter, R AU - He, Hongxing AU - Hawkins, S AU - Gu, Lifang PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1184035 ER -

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