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A linguistic approach to time series forecasting

Methods for predicting dynamic time series (including non-stationary ones) based on a linguistic approach, namely, the study of occurrences and repetition of so-called N-grams, are proposed. This approach is used in computational linguistics to create statistical translators, detect plagiarism and d...

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Datum:	2022
Hauptverfasser:	Ланде, Д. В., Юзефович , В. В.
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	Інститут проблем реєстрації інформації НАН України 2022
Schlagworte:	time series forecasting N-gram method quantization trend model similarity criterion correlation linear regression
Online Zugang:	http://drsp.ipri.kiev.ua/article/view/262673
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Data Recording, Storage & Processing

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Data Recording, Storage & Processing

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