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References (cont')

  • S. Papadimitriou, H. Kitagawa, P. B. Gibbons, and C. Faloutsos. Loci: Fast outlier detection using the local correlation integral. ICDE’03
  • A. Patcha and J.-M. Park. An overview of anomaly detection techniques: Existing solutions and latest technological trends. Comput. Netw., 51, 2007.
  • X. Song, M. Wu, C. Jermaine, and S. Ranka. Conditional anomaly detection. IEEE Trans. on Knowl. and Data Eng., 19, 2007.
  • Y. Tao, X. Xiao, and S. Zhou. Mining distance-based outliers from large databases in any metric space. KDD’06
  • N. Ye and Q. Chen. An anomaly detection technique based on a chi-square statistic for detecting intrusions into information systems. Quality and Reliability Engineering International, 17:105–112, 2001.
  • B.-K. Yi, N. Sidiropoulos, T. Johnson, H. V. Jagadish, C. Faloutsos, and A. Biliris. Online data mining for co-evolving time sequences. ICDE’00

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