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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Lauer, M., Riedmiller, M., Ragg, T., Baum, W., Wigbers, M. (2003). The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction. In: R. Berthold, M., Lenz, HJ., Bradley, E., Kruse, R., Borgelt, C. (eds) Advances in Intelligent Data Analysis V. IDA 2003. Lecture Notes in Computer Science, vol 2810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45231-7_42
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DOI: https://doi.org/10.1007/978-3-540-45231-7_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40813-0
Online ISBN: 978-3-540-45231-7
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