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Ulug et al., 2025 - Google Patents

Optimized churn prediction using ensemble-based feature selection via second-order cone programming

Ulug et al., 2025

Document ID
531210093845700609
Author
Ulug B
Akyüz S
Publication year
Publication venue
Annals of Operations Research

External Links

Snippet

This paper investigates the diverse applications of ensemble-based artificial intelligence algorithms in analyzing customer churn within the banking industry. Additionally, it conducts a comprehensive comparison, rigorously contrasting well-established conventional methods …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation, credit approval, mortgages, home banking or on-line banking
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