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series model for each ATMs. For clustering, the succession of 7 continuous daily withdrawal seasonality parameters of ATMs is … result of Andrawis et al. (2011). This is due to clustering followed by a forecasting phase. Further, the proposed approach … yielded much smaller SMAPE values than the approach of direct prediction on the entire sample without clustering. From a …
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Predicting if a client is worth giving a loan-credit scoring-is one of the most essential and popular problems in banking. Predictive models for this goal are built on the assumption that there is a dependency between the client's profile before the loan approval and their future behavior....
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Predicting if a client is worth giving a loan-credit scoring-is one of the most essential and popular problems in banking. Predictive models for this goal are built on the assumption that there is a dependency between the client's profile before the loan approval and their future behavior....
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