4 citations · 6 across the 5 of their papers we have counts for
6 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…
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series
Michele Linardi, Yan Zhu, Themis Palpanas +1
In the last fifteen years, data series motif and discord discovery have emerged as two useful and well-used primitives for data series mining, with applications to many domains, in…
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series
Michele Linardi, Yan Zhu, Themis Palpanas +1
Data series motif discovery represents one of the most useful primitives for data series mining, with applications to many domains, such as robotics, entomology, seismology, medici…
Representation Learning by Reconstructing Neighborhoods
Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis +2
Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-…
The UCR Time Series Archive
Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar +5
The UCR Time Series Archive - introduced in 2002, has become an important resource in the time series data mining community, with at least one thousand published papers making use…
Admissible Time Series Motif Discovery with Missing Data
Yan Zhu, Abdullah Mueen, Eamonn Keogh
The discovery of time series motifs has emerged as one of the most useful primitives in time series data mining. Researchers have shown its utility for exploratory data mining, sum…