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Authors: Herbert van Leeuwen 1 ; Yingqian Zhang 2 ; Kalliopi Zervanou 2 ; Shantanu Mullick 2 ; Uzay Kaymak 2 and Tom de Ruijter 3

Affiliations: 1 Jheronimus Academy of Data Science, The Netherlands ; 2 School of Industrial Engineering, Eindhoven University of Technology, The Netherlands ; 3 KLM, The Netherlands

Keyword(s): Baggage Transfer Process Model, Baggage At-risk Prediction, Gradient Boosting Machine.

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.

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Paper citation in several formats:
van Leeuwen, H.; Zhang, Y.; Zervanou, K.; Mullick, S.; Kaymak, U. and de Ruijter, T. (2020). Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-395-7; ISSN 2184-433X, SciTePress, pages 172-181. DOI: 10.5220/0008977801720181

@conference{icaart20,
author={Herbert {van Leeuwen}. and Yingqian Zhang. and Kalliopi Zervanou. and Shantanu Mullick. and Uzay Kaymak. and Tom {de Ruijter}.},
title={Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2020},
pages={172-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008977801720181},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled
SN - 978-989-758-395-7
IS - 2184-433X
AU - van Leeuwen, H.
AU - Zhang, Y.
AU - Zervanou, K.
AU - Mullick, S.
AU - Kaymak, U.
AU - de Ruijter, T.
PY - 2020
SP - 172
EP - 181
DO - 10.5220/0008977801720181
PB - SciTePress

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