Efficient Outlier Detection for Large Time Series Databases. Programs for detecting and cleaning outliers in single time series and in time series from homogeneous and heterogeneous databases using an Orthogonal Greedy Algorithm (OGA) for saturated linear regression models. The programs implement the procedures presented in the paper entitled "Efficient Outli
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Last updated · 2026-01-30T13:30:02+00:00