A Survey of Outlier Detection Methodologies

@article{Hodge2004ASO,
  title={A Survey of Outlier Detection Methodologies},
  author={Victoria J. Hodge and J. Austin},
  journal={Artificial Intelligence Review},
  year={2004},
  volume={22},
  pages={85-126}
}
  • Victoria J. Hodge, J. Austin
  • Published 2004
  • Artificial Intelligence Review
    • Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations in populations. Their detection can identify system faults and fraud before they escalate with potentially catastrophic consequences. It can identify errors and remove their contaminating effect on the data set and as… CONTINUE READING
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    References

    SHOWING 1-10 OF 69 REFERENCES
    Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps
    • 162
    • Highly Influential
    • PDF
    On-Line Novelty Detection through self-organisation with application to inspection robotics
    • 34
    • Highly Influential
    A System for the Analysis of Jet System Vibration Data
    • Integrated ComputerAided Engineering
    • 1999
    A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
    • 15,288
    • Highly Influential
    • PDF
    A massively parallel architecture for a self-organizing neural pattern recognition machine
    • 2,785
    • Highly Influential
    • PDF
    Robust regression and outlier detection
    • 5,193
    • Highly Influential
    UCI Repository of machine learning databases
    • 12,990
    • Highly Influential
    A study of distance-based machine learning algorithms
    • 140
    • Highly Influential
    Novelty detection & Neural Network validation
    • Proceedings of the IEE Conference on Vision, Image and Signal Processing
    • 1994
    Novelty detection and neural network validation
    • 543
    • Highly Influential