A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs

Research article (2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2018) · cited 48× · AI/ML
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A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs

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A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-analysis-of-svm-naive-bayes-and-gbdt-for-data-faults-detection-in-wsns
MLA “A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-analysis-of-svm-naive-bayes-and-gbdt-for-data-faults-detection-in-wsns.
BibTeX @misc{4ortxyz_a-comparative-analysis-of-svm-naive-bayes-and-gbdt-for-data-faults-detection-in-wsns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Analysis of SVM, Naive Bayes and GBDT for Data Faults Detection in WSNs}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-analysis-of-svm-naive-bayes-and-gbdt-for-data-faults-detection-in-wsns}, note = {Accessed: 2026-05-24}}
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