Time Series
سلسلة زمنية
تتابع من نقاط البيانات مُرتَّبة زمنياً، تُقاس عادةً على فترات منتظمة. تُستخدم في التنبؤ والكشف عن الأنماط والشذوذ.
A sequence of data points ordered in time, typically measured at regular intervals. Used for forecasting, pattern detection, and anomaly detection.
Also translated asسلاسل زمنية، متسلسلة زمنية
First appears in this corpus in: Forecasting at Scale (2018)
Appears in these papers
- Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting2021in the sky ✦
- Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting2021in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020in the sky ✦
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020in the sky ✦
- Are Transformers Effective for Time Series Forecasting?2023in the sky ✦
- Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021in the sky ✦
- Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021in the sky ✦
- N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019in the sky ✦
- Forecasting at Scale2018in the sky ✦
- Forecasting at Scale2018in the sky ✦
- A Decoder-Only Foundation Model for Time Series Forecasting2024in the sky ✦