Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce

Публікація:
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce

dc.contributor.author	Kirichenko, L.
dc.contributor.author	Radivilova, T.
dc.contributor.author	Zinkevich, I.
dc.date.accessioned	2017-10-05T12:41:01Z
dc.date.available	2017-10-05T12:41:01Z
dc.date.issued	2017
dc.description.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.	uk_UA
dc.identifier.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.	uk_UA
dc.identifier.isbn	978-1-5386-1638-3
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4038
dc.language.iso	en	uk_UA
dc.subject	forecasting	uk_UA
dc.subject	exponential smoothing	uk_UA
dc.title	Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication

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