2 papers
cs.LG2026
Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
Thanapol Phungtua-eng, Yoshitaka Yamamoto
Long-term time series forecasting (LTSF) is widely recognized as a central challenge in data mining and machine learning. LTSF has increasingly evolved into a benchmark-driven ''GA…
cs.DB2026
LGTD: Local-Global Trend Decomposition for Season-Length-Free Time Series Analysis
Chotanansub Sophaken, Thanadej Rattanakornphan, Piyanon Charoenpoonpanich +2
Time series decomposition into trend, seasonal, and residual components is a fundamental primitive in data mining and analytics pipelines, underpinning anomaly detection, change-po…