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Outlier detection in network revenue management

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Bibliographic Details
Main Authors: Nicola, Rennie, Catherine, Cleophas, Adam M., Sykulski
Format: Book
Language:English
Published: Springer 2023
Subjects:
Outlier detection
Online Access:https://link.springer.com/article/10.1007/s00291-023-00714-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8403
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spelling oai:localhost:PNK-84032023-05-05T01:53:36Z Outlier detection in network revenue management Nicola, Rennie Catherine, Cleophas Adam M., Sykulski Outlier detection CC BY This paper presents an automated approach for providing ranked lists of outliers in observed demand to support analysts in network revenue management. Such network revenue management, e.g. for railway itineraries, needs accurate demand forecasts. However, demand outliers across or in parts of a network complicate accurate demand forecasting, and the network structure makes such demand outliers hard to detect. We propose a two-step approach combining clustering with functional outlier detection to identify outlying demand from network bookings observed on the leg level. The first step clusters legs to appropriately partition and pools booking patterns. The second step identifies outliers within each cluster and uses a novel aggregation method across legs to create a ranked alert list of affected instances. 2023-05-05T01:53:36Z 2023-05-05T01:53:36Z 2023 Book https://link.springer.com/article/10.1007/s00291-023-00714-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8403 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Outlier detection
spellingShingle Outlier detection
Nicola, Rennie
Catherine, Cleophas
Adam M., Sykulski
Outlier detection in network revenue management
description CC BY
format Book
author Nicola, Rennie
Catherine, Cleophas
Adam M., Sykulski
author_facet Nicola, Rennie
Catherine, Cleophas
Adam M., Sykulski
author_sort Nicola, Rennie
title Outlier detection in network revenue management
title_short Outlier detection in network revenue management
title_full Outlier detection in network revenue management
title_fullStr Outlier detection in network revenue management
title_full_unstemmed Outlier detection in network revenue management
title_sort outlier detection in network revenue management
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00291-023-00714-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8403
_version_ 1765083414835232768
score 8.891053

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