Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce
Kharkiv National University of Radioelectronics（哈尔科夫国立无线电电子大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
