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1 Ergebnisse
1
An Interactive Dashboard for Predicting Bank Customer Attri..:
, In:
2022 International Conference on Emerging Trends in Computing and Engineering Applications (ETCEA)
,
Dalbah, Lamees Mohammad
;
Ali, Sharaz
;
Al-Naymat, Ghazi
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/ETCEA57049.2022.10009818
RT T1 <cTitle>2022 International Conference on Emerging Trends in Computing and Engineering Applications (ETCEA)</cTitle>: T1 <Title>An Interactive Dashboard for Predicting Bank Customer Attrition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10009818&Exemplar=1&LAN=DE A1 Dalbah, Lamees Mohammad A1 Ali, Sharaz A1 Al-Naymat, Ghazi YR 2022 K1 Support vector machines K1 Measurement K1 Analytical models K1 Machine learning algorithms K1 Predictive models K1 Prediction algorithms K1 Boosting K1 Machine Learning K1 Business Intelligence K1 Customer Churn K1 Prediction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ETCEA57049.2022.10009818 DO https://doi.org/10.1109/ETCEA57049.2022.10009818 SF ELIB - SuUB Bremen
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