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Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk

Research article (SN Applied Sciences, 2020) · cited 47× · AI/ML
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Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk

Summary

Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk is a scholarly article[1].

Key Facts

  • Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk. Retrieved May 24, 2026, from https://4ort.xyz/entity/example-dependent-cost-sensitive-credit-cards-fraud-detection-using-smote-and-bayes-minimum-risk
MLA “Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/example-dependent-cost-sensitive-credit-cards-fraud-detection-using-smote-and-bayes-minimum-risk.
BibTeX @misc{4ortxyz_example-dependent-cost-sensitive-credit-cards-fraud-detection-using-smote-and-bayes-minimum-risk_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk}}, year = {2026}, url = {https://4ort.xyz/entity/example-dependent-cost-sensitive-credit-cards-fraud-detection-using-smote-and-bayes-minimum-risk}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk — https://4ort.xyz/entity/example-dependent-cost-sensitive-credit-cards-fraud-detection-using-smote-and-bayes-minimum-risk (retrieved 2026-05-24)

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