Using supervised machine learning methods for RFM segmentatio : a casino direct marketing communication case
Danijel Bratina, Armand Faganel
| Alternative title: | Korištenje nadziranih metoda strojnoga učenja za RFM segmentaciju : sluc̆aj izravne marketins̆ke komunikacije kasina |
|---|---|
| Year of publication: |
2023
|
| Authors: | Bratina, Danijel ; Faganel, Armand |
| Published in: |
Market : review for marketing theory and practice. - Zagreb : Školska Knjiga, ISSN 0353-4790, ZDB-ID 1196573-3. - Vol. 35.2023, 1, p. 7-22
|
| Subject: | RFM segmentation | machine learning algorithms | decision trees | support vector machines | naive Bayes algorithm | logistic regression | Algorithmus | Algorithm | Künstliche Intelligenz | Artificial intelligence | Mustererkennung | Pattern recognition | Direktmarketing | Direct marketing | Entscheidungsbaum | Decision tree | Glücksspiel | Gambling | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Zusammenfassung in kroatischer Sprache |
| Other identifiers: | 10.22598/mt/2023.35.1.7 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014315007