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eNauka >  Results >  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
Title: 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
Authors: V. Thomas; M. Zivkovic  ; L. Jovanovic ; M. Antonijevic  ; J. Perisic  ; N. Bacanin  ; J. Cadjenovic
Issue Date: 2025
Publication: 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 Search Idenfier
Publisher: Springer, Singapore
Type: Book parts
Collation: 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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