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Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
Summary
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry is a scholarly article[1].
Key Facts
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry. Retrieved May 24, 2026, from https://4ort.xyz/entity/customers-churn-prediction-and-marketing-retention-strategies-an-application-of-support-vector-machines-based-on-the-auc
MLA“Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/customers-churn-prediction-and-marketing-retention-strategies-an-application-of-support-vector-machines-based-on-the-auc.
BibTeX@misc{4ortxyz_customers-churn-prediction-and-marketing-retention-strategies-an-application-of-support-vector-machines-based-on-the-auc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry}}, year = {2026}, url = {https://4ort.xyz/entity/customers-churn-prediction-and-marketing-retention-strategies-an-application-of-support-vector-machines-based-on-the-auc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry — https://4ort.xyz/entity/customers-churn-prediction-and-marketing-retention-strategies-an-application-of-support-vector-machines-based-on-the-auc (retrieved 2026-05-24)
