Act-Now combines random subgraph sampling, fast and slow stream buffers, and a label-decomposition forecaster, reporting large MSE reductions on three cellular traffic datasets.
Online arima algorithms for time series prediction,
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Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
Act-Now combines random subgraph sampling, fast and slow stream buffers, and a label-decomposition forecaster, reporting large MSE reductions on three cellular traffic datasets.