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An efficient and practical approach for privacy-preserving Naive Bayes classification

Research article (Journal of Information Security and Applications, 2022) · cited 19× · AI/ML
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An efficient and practical approach for privacy-preserving Naive Bayes classification

Summary

An efficient and practical approach for privacy-preserving Naive Bayes classification is a scholarly article[1].

Key Facts

  • An efficient and practical approach for privacy-preserving Naive Bayes classification'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). An efficient and practical approach for privacy-preserving Naive Bayes classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-and-practical-approach-for-privacy-preserving-naive-bayes-classification
MLA “An efficient and practical approach for privacy-preserving Naive Bayes classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-and-practical-approach-for-privacy-preserving-naive-bayes-classification.
BibTeX @misc{4ortxyz_an-efficient-and-practical-approach-for-privacy-preserving-naive-bayes-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient and practical approach for privacy-preserving Naive Bayes classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-and-practical-approach-for-privacy-preserving-naive-bayes-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient and practical approach for privacy-preserving Naive Bayes classification — https://4ort.xyz/entity/an-efficient-and-practical-approach-for-privacy-preserving-naive-bayes-classification (retrieved 2026-05-24)

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