2 papers
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…
cs.LG2025
Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series
Thanadej Rattanakornphan, Piyanon Charoenpoonpanich, Chainarong Amornbunchornvej
Finding the most similar subsequences between two multidimensional time series has many applications: e.g. capturing dependency in stock market or discovering coordinated movement…