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1
Forecasting Customer Attrition using Machine Learning:
, In:
2024 10th International Conference on Communication and Signal Processing (ICCSP)
,
Kumaran, T.E
;
Lokesh, B
;
Arunkumar, P
. - p. 801-806 , 2024
Link:
https://doi.org/10.1109/ICCSP60870.2024.10543958
RT T1 <cTitle>2024 10th International Conference on Communication and Signal Processing (ICCSP)</cTitle>: T1 <Title>Forecasting Customer Attrition using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10543958&Exemplar=1&LAN=DE A1 Kumaran, T.E A1 Lokesh, B A1 Arunkumar, P A1 Thirumeni, Mariammal YR 2024 SN 2836-1873 K1 Analytical models K1 Machine learning algorithms K1 Data analysis K1 Stacking K1 Signal processing algorithms K1 Companies K1 Predictive models K1 Customer Churn K1 Queue Revenue Impact K1 Client Retention K1 Anticipatory Analytics K1 Comparative Analysis K1 Model Evaluation SP 801 OP 806 LK http://dx.doi.org/https://doi.org/10.1109/ICCSP60870.2024.10543958 DO https://doi.org/10.1109/ICCSP60870.2024.10543958 SF ELIB - SuUB Bremen
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