SAZED: parameter-free domain-agnostic season length estimation in time series data

Author:

Toller Maximilian,Santos TiagoORCID,Kern Roman

Funder

Austrian Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference34 articles.

1. Andrews DF, Herzberg AM (2012) Data: a collection of problems from many fields for the student and research worker. Springer, Berlin

2. Box GE, Jenkins GM, Reinsel GC, Ljung GM (2015) Time series analysis: forecasting and control. Wiley, London

3. Cerqueira V, Torgo L, Pinto F, Soares C (2017) Arbitrated ensemble for time series forecasting. In: Joint European conference on machine learning and knowledge discovery in databases, Springer, Berlin, pp 478–494

4. Chan KS, Ripley B (2012) TSA: time series analysis. https://CRAN.R-project.org/package=TSA , R package version 1.01

5. Cleveland RB, Cleveland WS, McRae JE, Terpenning I (1990) STL: a seasonal-trend decomposition. J Off Stat 6(1):3–73

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