A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic

@article{Huang2016ANA,
  title={A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic},
  author={T. Huang and H. Sethu and N. Kandasamy},
  journal={IEEE Transactions on Network and Service Management},
  year={2016},
  volume={13},
  pages={651-665}
}
  • T. Huang, H. Sethu, N. Kandasamy
  • Published 2016
  • Computer Science, Mathematics
  • IEEE Transactions on Network and Service Management
  • The monitoring and management of high-volume feature-rich traffic in large networks offers significant challenges in storage, transmission, and computational costs. The predominant approach to reducing these costs is based on performing a linear mapping of the data to a low-dimensional subspace such that a certain large percentage of the variance in the data is preserved in the low-dimensional representation. This variance-based subspace approach to dimensionality reduction forces a fixed… CONTINUE READING
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