A Bayesian Approach for Flight Fare Prediction Based on Kalman Filter

Author:

Boruah Abhijit,Baruah Kamal,Das Biman,Das Manash Jyoti,Gohain Niranjan Borpatra

Publisher

Springer Singapore

Reference12 articles.

1. Feng, Youyi, and Baichun Xiao. “A dynamic airline seat inventory control model and its optimal policy.” Operations Research 49.6 (2001): 938–949.

2. Etzioni, Oren, et al. “To buy or not to buy: mining airfare data to minimize ticket purchase price.” Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2003.

3. Rama-Murthy, Krishna. Modeling of United States Airline Fares–Using the Official Airline Guide (OAG) and Airline Origin and Destination Survey (DB1B). Diss. Virginia Tech, 2006.

4. Groves, William, and Maria Gini. “A regression model for predicting optimal purchase timing for airline tickets.” Technical report (2011).

5. Diebold, Francis X. Elements of forecasting. South-Western College Publ., 2006.

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