Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
<p>Using 27 million flight bookings for 2 years from a major international airline company, we built a Next Likely Destination model to ascertain customers’ next flight booking. The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the i...
محفوظ في:
| المؤلف الرئيسي: | Saravanan Thirumuruganathan (11038038) (author) |
|---|---|
| مؤلفون آخرون: | Soon-gyo Jung (7434773) (author), Dianne Ramirez Robillos (14151015) (author), Joni Salminen (7434770) (author), Bernard J. Jansen (7434779) (author) |
| منشور في: |
2021
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Mining airline data for CRM strategies. (c2006)
حسب: Maalouf, Lena
منشور في: (2006) -
Middle East Airlines (M.E.A.). (c1997)
حسب: Tabet, Zaka'a El-Murr
منشور في: (1997) -
Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating
حسب: Saravanan Thirumuruganathan (11038038)
منشور في: (2023) -
Airline's expatriate problems in outstations, and means to handle them. (c1986)
حسب: Tannir, Hassana M.
منشور في: (1986) -
Achieving rapid internationalization of sub-Saharan African firms: Ethiopian Airlines' operations under challenging conditions
حسب: Osama Sam Al-Kwifi (18061030)
منشور في: (2020)