An efficient hybrid clustering to predict the risk of customer churn

Research article (2018 2nd International Conference on Inventive Systems and Control (ICISC), 2018) · cited 11× · AI/ML
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An efficient hybrid clustering to predict the risk of customer churn

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An efficient hybrid clustering to predict the risk of customer churn is a scholarly article[1].

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  • An efficient hybrid clustering to predict the risk of customer churn's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient hybrid clustering to predict the risk of customer churn. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-hybrid-clustering-to-predict-the-risk-of-customer-churn
MLA “An efficient hybrid clustering to predict the risk of customer churn.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-hybrid-clustering-to-predict-the-risk-of-customer-churn.
BibTeX @misc{4ortxyz_an-efficient-hybrid-clustering-to-predict-the-risk-of-customer-churn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient hybrid clustering to predict the risk of customer churn}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-hybrid-clustering-to-predict-the-risk-of-customer-churn}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient hybrid clustering to predict the risk of customer churn — https://4ort.xyz/entity/an-efficient-hybrid-clustering-to-predict-the-risk-of-customer-churn (retrieved 2026-05-24)

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