A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams

@article{Jiang2013AFO,
  title={A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams},
  author={Ruoyi Jiang and Hongliang Fei and Jun Huan},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2013},
  volume={25},
  pages={2421-2433}
}
Determining anomalies in data streams that are collected and transformed from various types of networks has recently attracted significant research interest. Principal component analysis (PCA) has been extensively applied to detecting anomalies in network data streams. However, none of existing PCA-based approaches addresses the problem of identifying the sources that contribute most to the observed anomaly, or anomaly localization. In this paper, we propose novel sparse PCA methods to perform… CONTINUE READING
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