29 search results - page 1 / 6 » A Survey of Outlier Detection Methodologies |
AIR
2004
13 years 11 months ago
2004
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...
KAIS
2007
13 years 11 months ago
2007
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
ADAC
2011
13 years 6 months ago
2011
ICDM
2002
IEEE
14 years 4 months ago
2002
IEEE
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
CSDA
2010
13 years 11 months ago
2010
Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses th...