Forecasting third-party mobile payments with implications for customer flow prediction
Year of publication: |
2020
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Authors: | Ma, Shaohui ; Fildes, Robert |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 36.2020, 3, p. 739-760
|
Subject: | Analytics | Big data | Customer flow forecasting | Machine learning | Forecasting many time series | Multi-step-ahead forecasting strategy | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Big Data | Prognose | Forecast | Data Mining | Data mining | Zeitreihenanalyse | Time series analysis | Elektronisches Zahlungsmittel | Electronic payment |
Description of contents: | Description [doi.org] |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1327-1328 |
Other identifiers: | 10.1016/j.ijforecast.2019.08.012 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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