Models for detecting and predicting anomalies in time series
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Produktnummer:
9786204465845
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.
| Autor: | Raksha, Anna Leontev, Vladislav Tereshchenko, Roman |
|---|---|
| EAN: | 9786204465845 |
| Sprache: | Englisch |
| Seitenzahl: | 52 |
| Produktart: | kartoniert, broschiert |
| Verlag: | Our Knowledge Publishing |
| Schlagworte: | Time Series Analysis identification of tipping points detection of anomalies in the time series Forecasting |
| Größe: | 150 × 220 |
