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Forecasting cancellation rates for services booking revenue management using data mining · Study

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ArticleForecasting cancellation rates for services booking revenue management using data mining

Dolores Romero Morales2009

Article2009

Forecasting cancellation rates for services booking revenue management using data mining

Dolores Romero Morales · Jingbo B. Wang

98 citations·0/0 files stored·European Journal of Operational Research

No readable copy stored yet — this record is metadata only.

Supply Chain and Inventory Management Forecasting Techniques and Applications Healthcare Operations and Scheduling Optimization

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 98 citations exist upstream.

References

2004The Theory and Practice of Revenue Management 2006Competing on analytics.2005The Theory and Practice of Revenue Management 1985OR Forum—OR and the Airline Overbooking Problem

Cited by

2020Using machine learning and big data for efficient forecasting of hotel booking cancellations 2019Passenger demand forecasting in scheduled transportation 2019Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior 2018Why are flexible booking policies priced negatively?2014Sustainable Rent-Based Closed-Loop Supply Chain for Fashion Products 2017Predicting hotel booking cancellations to decrease uncertainty and increase revenue 2019An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations 2016Hotel daily occupancy forecasting with competitive sets: a recursive algorithm

Details

Year2009

Typearticle

Published2009-06-15

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations98

Files0 public / 0

ShelfSupply Chain and Inventory Management

Identifiers

doi10.1016/j.ejor.2009.06.006

openalex_workW2033298259

Links

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