Please use this identifier to cite or link to this item: http://openarchive.nure.ua/handle/document/4038
Title: Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce
Authors: Kirichenko, L.
Radivilova, T.
Zinkevich, I.
Keywords: forecasting
exponential smoothing
Issue Date: 2017
Citation: 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.
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.
URI: http://openarchive.nure.ua/handle/document/4038
ISBN: 978-1-5386-1638-3
Appears in Collections:Кафедра інфокомунікаційної інженерії (ІКІ)

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