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Anomaly Detection Algorithm Based on Subspace Local Density Estimation., and . Int. J. Web Service Res., 16 (3): 44-58 (2019)An Improvement of PAA on Trend-Based Approximation for Time Series., , , , , , and . CoRR, (2019)Fast Time Series Discords Detection with Privacy Preserving., , , , and . TrustCom/BigDataSE, page 1129-1139. IEEE, (2018)A Novel Anomaly Detection Algorithm Based on Trident Tree., , , , , and . CLOUD, volume 10967 of Lecture Notes in Computer Science, page 295-306. Springer, (2018)Research of Detection Algorithm for Time Series Abnormal Subsequence., , and . ICPCSEE (1), volume 727 of Communications in Computer and Information Science, page 12-26. Springer, (2017)An Improvement of PAA on Trend-Based Approximation for Time Series., , , , , , and . ICA3PP (2), volume 11335 of Lecture Notes in Computer Science, page 248-262. Springer, (2018)PPLDEM: A Fast Anomaly Detection Algorithm with Privacy Preserving., , , , , , and . ICA3PP (4), volume 11337 of Lecture Notes in Computer Science, page 358-373. Springer, (2018)Anomaly Subsequence Detection with Dynamic Local Density for Time Series., , and . DEXA (2), volume 11707 of Lecture Notes in Computer Science, page 291-305. Springer, (2019)A novel privacy-preserving distributed anomaly detection method., , , , , , and . SPAC, page 463-468. IEEE, (2017)BOFE: Anomaly Detection in Linear Time Based on Feature Estimation., and . ICDM Workshops, page 1128-1133. IEEE, (2018)