Improving customer value index and consumption forecasts using a weighted RFM model and machine learning algorithms
Zongxiao Wu, Cong Zang, Chia-Huei Wu, Zilin Deng, Xuefeng Shao, Wei Liu
| Year of publication: |
2022
|
|---|---|
| Authors: | Wu, Zongxiao ; Zang, Cong ; Wu, Chia-Huei ; Deng, Zilin ; Shao, Xuefeng ; Liu, Wei |
| Published in: |
Journal of global information management. - Hershey, Pa. : IGI Global, ISSN 1533-7995, ZDB-ID 2070054-4. - Vol. 30.2022, 3, Art.-No. 1, p. 1-23
|
| Subject: | Computing | Consumer | Consumption Forecast | Data Mining | K-Means Clustering Analysis | Marketing Strategy | Random Forest Model | RFM Model | Prognoseverfahren | Forecasting model | Data mining | Konsumentenverhalten | Consumer behaviour | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Kundenwert | Customer value |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.4018/JGIM.20220701.oa1 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012799261