19 citations · 22 across the 4 of their papers we have counts for
8 papers
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…
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…
Features or Shape? Tackling the False Dichotomy of Time Series Classification
Sara Alaee, Alireza Abdoli, Christian Shelton +3
Time series classification is an important task in its own right, and it is often a precursor to further downstream analytics. To date, virtually all works in the literature have u…
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior
Alireza Abdoli, Amy C. Murillo, Alec C. Gerry +1
Poultry farms are a major contributor to the human food chain. However, around the world, there have been growing concerns about the quality of life for the livestock in poultry fa…
Time series classification for varying length series
Chang Wei Tan, Francois Petitjean, Eamonn Keogh +1
Research into time series classification has tended to focus on the case of series of uniform length. However, it is common for real-world time series data to have unequal lengths.…