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.
Original language | English |
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Title of host publication | ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence |
Editors | Ana Rocha, Luc Steels, Jaap van den Herik |
Publisher | SciTePress |
Pages | 172-181 |
Number of pages | 10 |
ISBN (Electronic) | 9789897583957 |
DOIs | |
Publication status | Published - 1 Feb 2020 |
Externally published | Yes |
Event | 12th International Conference on Agents and Artificial Intelligence - Valetta, Malta Duration: 22 Feb 2020 → 24 Feb 2020 http://www.icaart.org/?y=2020 |
Publication series
Name | ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence |
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Volume | 2 |
Conference
Conference | 12th International Conference on Agents and Artificial Intelligence |
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Abbreviated title | ICAART 2020 |
Country/Territory | Malta |
City | Valetta |
Period | 22/02/20 → 24/02/20 |
Internet address |
Bibliographical note
Access free on publishers sitePublisher Copyright: © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
Keywords
- Baggage At-risk Prediction
- Baggage Transfer Process Model
- Gradient Boosting Machine
ASJC Scopus subject areas
- Artificial Intelligence
- Software
Fingerprint
Dive into the research topics of 'Lost and found: predicting airline baggage at-risk of being mishandled'. Together they form a unique fingerprint.Prizes
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Best Industrial Paper Award
van Leeuwen, H. (Recipient), Zhang, Y. (Recipient), Zervanou, K. (Recipient), Mullick, S. (Recipient) & Kaymak, U. (Recipient), 24 Feb 2020
Prize: Prize (including medals and awards)