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Predictive Modeling of Customer Churn: A Comparative Analysis of Ensemble Learning Techniques, Chapter in LNNS Lecture Notes in Networks and Systems: ADCIS 2024: Advances in Data-driven Computing and Intelligent Systems, Springer, volume 1304
| Naziv: | Predictive Modeling of Customer Churn: A Comparative Analysis of Ensemble Learning Techniques, Chapter in LNNS Lecture Notes in Networks and Systems: ADCIS 2024: Advances in Data-driven Computing and Intelligent Systems, Springer, volume 1304 | Autori: | V. Thomas; M. Zivkovic |
Godina: | 2025 | Publikacija: | LNNS Lecture Notes in Networks and Systems: ADCIS 2024: Proceedings of International Conference on Advances in Data-driven Computing and Intelligent Systems, volume 1304 | ISSN: | 2367-3370![]() Pretraži identifikator |
Izdavač: | Springer, Singapore | Tip rezultata: | Poglavlje u monografiji | Kolacija: | str. 299-314 | DOI: | 10.1007/978-981-96-3652-5_22 | Scopus-ID: | 2-s2.0-105012923303 | URI: | http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11501 https://link.springer.com/chapter/10.1007/978-981-96-3652-5_22 https://enauka.gov.rs/handle/123456789/994971 |
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