作者
Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich
发表日期
2018
研讨会论文
Advances in Intelligent Systems and Computing II: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2017, September 5-8 Lviv, Ukraine
页码范围
230-242
出版商
Springer International Publishing
简介
The characteristic features of time series conversion, which arise in the tasks of e-commerce are described. It is shown that these series are weakly correlated, which does not allow to use traditional methods for their prediction. Forecasting of the series is performed by methods of exponential smoothing, neural network and decision tree using data from an online store. A comparative analysis of the results is carried out. The advantages and disadvantages of each method are considered.
学术搜索中的文章
L Kirichenko, T Radivilova, I Zinkevich - Advances in Intelligent Systems and Computing II …, 2018