Outlier Detection Using Replicator Neural Networks
作者： Simon Hawkins , Hongxing He , Graham Williams , Rohan Baxter
关键词: Outlier 、 Data mining 、 Multivariate statistics 、 Artificial neural network 、 Information extraction 、 Error detection and correction 、 Measure (data warehouse) 、 Data cleansing 、 Computer science 、 Anomaly detection
摘要: We consider the problem of finding outliers in large multivariate databases. Outlier detection can be applied during data cleansing process mining to identify problems with itself, and fraud where groups are often particular interest. use replicator neural networks (RNNs) provide a measure outlyingness records. The performance RNNs is assessed using ranked score measure. effectiveness for outlier demonstrated on two publicly available
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