19 citations · 28 across the 7 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
Sara Alaee, Kaveh Kamgar, Eamonn Keogh
Over the last decade, time series motif discovery has emerged as a useful primitive for many downstream analytical tasks, including clustering, classification, rule discovery, segm…
cs.LG2020
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Renjie Wu, Eamonn J. Keogh
Time series anomaly detection has been a perennially important topic in data science, with papers dating back to the 1950s. However, in recent years there has been an explosion of…
cs.LG2020
FastDTW is approximate and Generally Slower than the Algorithm it Approximates
Renjie Wu, Eamonn J. Keogh
Many time series data mining problems can be solved with repeated use of distance measure. Examples of such tasks include similarity search, clustering, classification, anomaly det…