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dc.contributor.authorGadgil, Ken_US
dc.contributor.authorGill, SSen_US
dc.contributor.authorAbdelmoniem, AMen_US
dc.date.accessioned2024-02-02T11:56:19Z
dc.date.available2023-09-19en_US
dc.date.issued2023-09-22en_US
dc.identifier.issn2949-9488en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/94419
dc.format.extent197 - 207en_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Economy and Technologyen_US
dc.rightsThis item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.titleA meta-learning based stacked regression approach for customer lifetime value predictionen_US
dc.typeArticle
dc.rights.holder© 2023 The Author(s). Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
dc.identifier.doi10.1016/j.ject.2023.09.001en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume1en_US
dcterms.dateAccepted2023-09-19en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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