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). Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/anovel-heomga-approach-for-class-imbalance-problem-in-the-application-of-customer-churn-prediction
MLA“Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anovel-heomga-approach-for-class-imbalance-problem-in-the-application-of-customer-churn-prediction.
BibTeX@misc{4ortxyz_anovel-heomga-approach-for-class-imbalance-problem-in-the-application-of-customer-churn-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/anovel-heomga-approach-for-class-imbalance-problem-in-the-application-of-customer-churn-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction — https://4ort.xyz/entity/anovel-heomga-approach-for-class-imbalance-problem-in-the-application-of-customer-churn-prediction (retrieved 2026-05-24)
