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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| Date: | 2022 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Інститут проблем реєстрації інформації НАН України
2022
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| Subjects: | |
| Online Access: | http://drsp.ipri.kiev.ua/article/view/262673 |
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| Journal Title: | Data Recording, Storage & Processing |