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An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes
An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes
Summary
An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes is a scholarly article[1].
Key Facts
An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes'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). An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-adaptive-learning-approach-for-customer-churn-prediction-in-the-telecommunication-industry-using-evolutionary-computa
MLA“An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-adaptive-learning-approach-for-customer-churn-prediction-in-the-telecommunication-industry-using-evolutionary-computa.
BibTeX@misc{4ortxyz_an-adaptive-learning-approach-for-customer-churn-prediction-in-the-telecommunication-industry-using-evolutionary-computa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes}}, year = {2026}, url = {https://4ort.xyz/entity/an-adaptive-learning-approach-for-customer-churn-prediction-in-the-telecommunication-industry-using-evolutionary-computa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes — https://4ort.xyz/entity/an-adaptive-learning-approach-for-customer-churn-prediction-in-the-telecommunication-industry-using-evolutionary-computa (retrieved 2026-05-24)
