Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce
Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)
Переглянути архів ІнформаціяПоле | Співвідношення | |
Title |
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce
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Creator |
Kirichenko, L.
Radivilova, T. Zinkevich, I. |
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Subject |
forecasting
exponential smoothing |
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Description |
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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Date |
2017-10-05T12:41:01Z
2017-10-05T12:41:01Z 2017 |
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Type |
Conference proceedings
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Identifier |
Kirichenko L., Radivilova T., Zinkevich I. Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce. Матеріали 12 Міжнародної науково-технічної конференції CSIT-2017. Том 1. - Львів: видавництво "Вежа і Ко", 2017. - Рр.309-312.
978-1-5386-1638-3 http://openarchive.nure.ua/handle/document/4038 |
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Language |
en
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