SIMIT: Subjectively Interesting Motifs in Time Series
Numerical time series data are pervasive, originating from sources as diverse as wearable devices, medical equipment, to sensors in industrial plants. In many cases, time series contain interesting information in terms of subsequences that recur in approximate form, so-called <i>motifs</i&g...
Main Authors: | Junning Deng, Jefrey Lijffijt, Bo Kang, Tijl De Bie |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/6/566 |
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