Machine Learning-Based Approach for Airfare Forecasting

Author:

Sherly Puspha Annabel L.ORCID,Ramanan G.,Prakash R.,Sreenidhi S.

Publisher

Springer Nature Singapore

Reference19 articles.

1. Groves W, Gini M (2013) An agent for optimizing airline ticket purchasing. In: 12th International conference on autonomous agents and multi-agent systems (AAMAS 2013), St. Paul, MN, 06–10 May 2013, pp 1341–1342

2. Tziridis K, Kalampokas T, Papakostas GA, Diamantaras KI (2017) Airfare prices pre- diction using machine learning techniques. In: 25th IEEE European signal processing conference, pp 1036–1039

3. Santana EJ, Mastelini SM, Barbon Jr S (201) Deep regressor stacking for air ticket prices prediction. In: the XIII Brazilian symposium on information systems: information systems for participatory digital governance. Brazilian Computer Society (SBC), pp 25–31

4. Rama-Murthy K (2006) Modeling of United states airline fares using the official airline guide (OAG) and airline origin and destination survey (DB1B). Ph.D. dissertation, Virginia Tech,

5. Domínguez-Menchero JS, Rivera J, Torres-Manzanera E (2014) Optimal purchase timing in the airline market. J Air Transport Manage 40:137–143

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