@inproceedings{cafc58f892094c68b059e08d7a66e0c4,
title = "Lost and found: Predicting airline baggage at-risk of being mishandled",
abstract = "The number of bags mishandled while transferring to a connecting flight is high. Bags at-risk of missing their connections can be processed faster; however, identifying such bags at-risk is still done by simple business rules. This work researches a general model of baggage transfer process and proposes a Gradient Boosting Machine based prediction model for identifying the bags at-risk. Our prediction model is compared to the current rule based method and a benchmark using logistic regression. The results show that our model offers an increase in accuracy coupled with a marked increase in precision and recall when identifying bags that are transferred unsuccessfully.",
keywords = "Baggage At-risk Prediction, Baggage Transfer Process Model, Gradient Boosting Machine",
author = "{van Leeuwen}, Herbert and Yingqian Zhang and Kalliopi Zervanou and Shantanu Mullick and Uzay Kaymak and {de Ruijter}, Tom",
note = "Publisher Copyright: {\textcopyright} 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved; 12th International Conference on Agents and Artificial Intelligence, ICAART 2020 ; Conference date: 22-02-2020 Through 24-02-2020",
year = "2020",
doi = "10.5220/0008977801720181",
language = "English",
series = "ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence",
publisher = "SciTePress",
pages = "172--181",
editor = "Ana Rocha and Luc Steels and {van den Herik}, Jaap",
booktitle = "ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence",
}