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Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination
Research article (2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC), 2024) · cited 15× · AI/ML
Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination
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Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination is a scholarly article[1].
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Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-network-intrusion-detection-performance-an-empirical-evaluation-using-extreme-gradient-boosting-xgboost-with-r
MLA“Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-network-intrusion-detection-performance-an-empirical-evaluation-using-extreme-gradient-boosting-xgboost-with-r.
BibTeX@misc{4ortxyz_improving-network-intrusion-detection-performance-an-empirical-evaluation-using-extreme-gradient-boosting-xgboost-with-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination}}, year = {2026}, url = {https://4ort.xyz/entity/improving-network-intrusion-detection-performance-an-empirical-evaluation-using-extreme-gradient-boosting-xgboost-with-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination — https://4ort.xyz/entity/improving-network-intrusion-detection-performance-an-empirical-evaluation-using-extreme-gradient-boosting-xgboost-with-r (retrieved 2026-05-24)
