Improving temporal predictions through time-series labeling using matrix profile and motifs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06744-7.pdf
Reference55 articles.
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2. Middya AI, Roy S, Das R (2021) Spatiotemporal variability analysis of air pollution data from iot based participatory sensing. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-021-03536-8
3. Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput. https://doi.org/10.1162/neco.1997.9.8.1735
4. Box GEP, Jenkins GM, Reinsel GC, Ljung GM (2015) Time series analysis: Forecasting and control, 5th edn. Wiley
5. Chang X, Gao M, Wang Y, Hou X (2012) Seasonal autoregressive integrated moving average model for precipitation time series. J Math Stat 8:500–505. https://doi.org/10.3844/jmssp.2012.500.505
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