Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks

Research article (IEEE Access, 2022) · cited 91× · AI/ML
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Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks

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Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection
MLA “Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection.
BibTeX @misc{4ortxyz_effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks}}, year = {2026}, url = {https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection}, note = {Accessed: 2026-05-24}}
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