The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction

摘要

We describe a system to predict the daily sales rates of newspapers. We deduce a mathematical modeling and its implementation, a data cleaning approach, and a way to augment the training sets using similar time series. The results are compared with a neural prediction system currently in use.