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arXiv · 1904.10927

Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce

Lyudmyla Kirichenko·Tamara Radivilova·Illya Zinkevich
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Abstract

Forecasting of weakly correlated time series of conversion rate by methods of exponential smoothing, neural network and decision tree on the example of conversion percent series for an electronic store is considered in the paper. The advantages and disadvantages of each method are considered.

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Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich. 2019-04-16. Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce. https://doi.org/10.1109/stc-csit.2017.8098793

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