7 citations · 12 across the 6 of their papers we have counts for
8 papers
Call center data analysis and model validation
Ger Koole, Siqiao Li, Sihan Ding
We analyze call center data on properties such as agent heterogeneity, customer patience and breaks. Then we compare simulation models that are different in the ways these properti…
Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case
Luis Pedro Silvestrin, Harry van Zanten, Mark Hoogendoorn +1
With the development of new sensors and monitoring devices, more sources of data become available to be used as inputs for machine learning models. These can on the one hand help t…
Data-Driven Market Segmentation in Hospitality Using Unsupervised Machine Learning
Rik van Leeuwen, Ger Koole
Within hospitality, marketing departments use segmentation to create tailored strategies to ensure personalized marketing. This study provides a data-driven approach by segmenting…
A machine learning approach to itinerary-level booking prediction in competitive airline markets
Daniel Hopman, Ger Koole, Rob van der Mei
Demand forecasting is extremely important in revenue management. After all, it is one of the inputs to an optimisation method which aim is to maximize revenue. Most, if not all, fo…
Modeling COVID-19 hospital admissions and occupancy in the Netherlands
René Bekker, Michiel uit het Broek, Ger Koole
We describe the models we built for hospital admissions and occupancy of COVID-19 patients in the Netherlands. These models were used to make short-term decisions about transfers o…
Demand forecasting in hospitality using smoothed demand curves
Rik van Leeuwen, Ger Koole
Forecasting demand is one of the fundamental components of a successful revenue management system in hospitality. The industry requires understandable models that contribute to ada…