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Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests
Research article (2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019) · cited 52× · AI/ML
Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests
Summary
Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests is a scholarly article[1].
Key Facts
Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-detection-accuracy-for-imbalanced-network-intrusion-classification-using-cluster-based-under-sampling-with-ran
MLA“Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-detection-accuracy-for-imbalanced-network-intrusion-classification-using-cluster-based-under-sampling-with-ran.
BibTeX@misc{4ortxyz_improving-detection-accuracy-for-imbalanced-network-intrusion-classification-using-cluster-based-under-sampling-with-ran_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests}}, year = {2026}, url = {https://4ort.xyz/entity/improving-detection-accuracy-for-imbalanced-network-intrusion-classification-using-cluster-based-under-sampling-with-ran}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests — https://4ort.xyz/entity/improving-detection-accuracy-for-imbalanced-network-intrusion-classification-using-cluster-based-under-sampling-with-ran (retrieved 2026-05-24)
