Anomaly Subsequence Detection with Dynamic Local Density for Time Series

no code implementations • 28 Jun 2019 • Chunkai Zhang, Yingyang Chen, Ao Yin

Anomaly subsequence detection is to detect inconsistent data, which always contains important information, among time series.

Anomaly Detection Density Estimation +4

An Improvement of PAA on Trend-Based Approximation for Time Series

no code implementations • 28 Jun 2019 • Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe L. Jiang

In this paper, we propose two new approaches for time series that utilize approximate trend feature information.

Anomaly Detection Dimensionality Reduction +2