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Anglický jazyk
Models for detecting and predicting anomalies in time series
Autor: Anna Raksha
This paper is devoted to the study of time series data representation, its construction, analysis, causes of anomalies, review of existing algorithms for finding anomalies, short-run anomaly prediction by methods such as Holt-Winters method, sliding window... Viac o knihe
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O knihe
This paper is devoted to the study of time series data representation, its construction, analysis, causes of anomalies, review of existing algorithms for finding anomalies, short-run anomaly prediction by methods such as Holt-Winters method, sliding window method, least squares method, exponential smoothing method, indicating the disadvantages and advantages of each method.
- Vydavateľstvo: Our Knowledge Publishing
- Rok vydania: 2022
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786204465845
