Shapelet Discovery
Shapelet Discovery is a temporal data mining technique that identifies discriminative subsequences of time series data whose shape characteristics enable effective classification by distinguishing between different classes of temporal patterns.
41
Publications
3.3K
Citations
131
Authors
72
Institutions
Publications per year
2017–2026
22
Parents
41
Learning time-series shapelets
Josif Grabocka, Nicolas Schilling, Martin Wistuba et al. · 2014 · 459 citations
A shapelet transform for time series classification
Jason Lines, Luke M. Davis, Jon Hills et al. · 2012 · 354 citations · Full text
Abdullah Mueen, Eamonn Keogh, Neal E. Young · 2011 · 274 citations
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72
University of California, Riverside
Riverside, United States
5 h-index
18 publications
2.3K citations
University of Technology Sydney
Sydney, Australia
3 h-index
9 publications
686 citations
University of Hildesheim
Hildesheim, Germany
3 h-index
12 publications
2.3K citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
122 citations

Zhejiang University
Hangzhou, China
2 h-index
5 publications
326 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
2 h-index
8 publications
872 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
218 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
218 citations
1–8 of 72
Conference · 3 publications · 301 citations
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2 publications · 162 citations
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TKDE · 2 publications · 99 citations
2
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2 publications · 41 citations
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TPAMI · 1 publications · 108 citations
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