Scaling forecasting algorithms using clustered modeling

Abstract

Research on forecasting has traditionally focused on building more accurate statistical models for a given time series. The models are mostly applied to limited data due to efficiency and scalability problems. However, many enterprise applications require scalable forecasting on large number of data series. For example, telecommunication companies need to… (More)
DOI: 10.1007/s00778-014-0363-0

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Cite this paper

@article{Gr2014ScalingFA, title={Scaling forecasting algorithms using clustered modeling}, author={Izzeddin G{\"u}r and Mehmet G{\"u}vercin and Hakan Ferhatosmanoglu}, journal={The VLDB Journal}, year={2014}, volume={24}, pages={51-65} }