| Autor: |
Lacic, Emanuel, Traub, Matthias, Duricic, Tomislav, Haslauer, Eva, Lex, Elisabeth |
| Předmět: |
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| Zdroj: |
IT: Information Technology; Aug2018, Vol. 60 Issue 4, p219-228, 10p |
| Abstrakt: |
A challenge for importers in the automobile industry is adjusting to rapidly changing market demands. In this work, we describe a practical study of car import planning based on the monthly car registrations in Austria. We model the task as a data driven forecasting problem and we implement four different prediction approaches. One utilizes a seasonal ARIMA model, while the other is based on LSTM-RNN and both compared to a linear and seasonal baselines. In our experiments, we evaluate the 33 different brands by predicting the number of registrations for the next month and for the year to come. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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