Abstract
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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Lauer, M., Riedmiller, M., Ragg, T., Baum, W., & Wigbers, M. (2003). The smaller the better: Comparison of two approaches for sales rate prediction. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. https://doi.org/10.1007/978-3-540-45231-7_42
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