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1 Ergebnisse
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Mining Customer Churns for Banking Industry using K-means a..:
, In:
2023 IEEE Conference on Computer Applications (ICCA)
,
Khine, Saw Thazin
;
Myo, Win Win
- p. 220-225 , 2023
Link:
https://doi.org/10.1109/ICCA51723.2023.10182152
RT T1
2023 IEEE Conference on Computer Applications (ICCA)
: T1
Mining Customer Churns for Banking Industry using K-means and Multi-layer Perceptron
UL https://suche.suub.uni-bremen.de/peid=ieee-10182152&Exemplar=1&LAN=DE A1 Khine, Saw Thazin A1 Myo, Win Win YR 2023 K1 Industries K1 Training K1 Support vector machines K1 Computational modeling K1 Banking K1 Computer applications K1 Predictive models K1 Customer Churn K1 Data Mining K1 K-means K1 Silhouette Method K1 MLP K1 Multi-layer Perceptron SP 220 OP 225 LK http://dx.doi.org/https://doi.org/10.1109/ICCA51723.2023.10182152 DO https://doi.org/10.1109/ICCA51723.2023.10182152 SF ELIB - SuUB Bremen
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