Predicting low airfares with time series features and a decision tree algorithm
Airlines try to maximize revenue by letting prices of tickets vary over time. This fluctuation contains patterns that can be exploited to predict price lows. In this study, we create an algorithm that daily decides whether to buy a certain ticket or wait for the price to go down. For creation and ev...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Statistiska institutionen
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353274 |