Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning

Research article (Computer Science and Information Systems, 2020) · cited 15× · AI/ML
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Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning

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Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/class-balancing-in-customer-segments-classification-using-support-vector-machine-rule-extraction-and-ensemble-learning
MLA “Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/class-balancing-in-customer-segments-classification-using-support-vector-machine-rule-extraction-and-ensemble-learning.
BibTeX @misc{4ortxyz_class-balancing-in-customer-segments-classification-using-support-vector-machine-rule-extraction-and-ensemble-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning}}, year = {2026}, url = {https://4ort.xyz/entity/class-balancing-in-customer-segments-classification-using-support-vector-machine-rule-extraction-and-ensemble-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning — https://4ort.xyz/entity/class-balancing-in-customer-segments-classification-using-support-vector-machine-rule-extraction-and-ensemble-learning (retrieved 2026-05-24)

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