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1 Ergebnisse
1
Handling Class Imbalance in Customer Churn Prediction in Te..:
, In:
2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)
,
Shumaly, Sajjad
;
Neysaryan, Pedram
;
Guo, Yanhui
- p. 082-087 , 2020
Link:
https://doi.org/10.1109/ICCKE50421.2020.9303698
RT T1 <cTitle>2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)</cTitle>: T1 <Title>Handling Class Imbalance in Customer Churn Prediction in Telecom Sector Using Sampling Techniques, Bagging and Boosting Trees</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9303698&Exemplar=1&LAN=DE A1 Shumaly, Sajjad A1 Neysaryan, Pedram A1 Guo, Yanhui YR 2020 SN 2643-279X K1 Machine learning algorithms K1 Companies K1 Data models K1 Classification algorithms K1 Boosting K1 Prediction algorithms K1 Random forests K1 Imbalance Data K1 Customer Churn K1 Bagging Trees K1 Boosting Trees K1 Classification K1 Data Balancing SP 082 OP 087 LK http://dx.doi.org/https://doi.org/10.1109/ICCKE50421.2020.9303698 DO https://doi.org/10.1109/ICCKE50421.2020.9303698 SF ELIB - SuUB Bremen
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