2 citations · 4 across the 4 of their papers we have counts for
5 papers
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Li Zhang, Yan Zhu, Yifeng Gao +1
Time series motif discovery has been a fundamental task to identify meaningful repeated patterns in time series. Recently, time series chains were introduced as an expansion of tim…
Semantic Discord: Finding Unusual Local Patterns for Time Series
Li Zhang, Yifeng Gao, Jessica Lin
Finding anomalous subsequence in a long time series is a very important but difficult problem. Existing state-of-the-art methods have been focusing on searching for the subsequence…
Ensemble Grammar Induction For Detecting Anomalies in Time Series
Yifeng Gao, Jessica Lin, Constantin Brif
Time series anomaly detection is an important task, with applications in a broad variety of domains. Many approaches have been proposed in recent years, but often they require that…
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
Yifeng Gao, Jessica Lin
Detecting repeating patterns of different lengths in time series, also called variable-length motifs, has received a great amount of attention by researchers and practitioners. Des…
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series
Yifeng Gao, Jessica Lin
Detecting repeated variable-length patterns, also called variable-length motifs, has received a great amount of attention in recent years. Current state-of-the-art algorithm utiliz…