A Network Traffic anomaly Detection method based on CNN and XGBoost
Research article (2020 Chinese Automation Congress (CAC), 2020) · cited 26× · AI/ML
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- [2] ↑ A Network Traffic anomaly Detection method based on CNN and XGBoost — instance of (P31): scholarly article. wikidata.org.
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4ort.xyz Knowledge Graph. (2026). A Network Traffic anomaly Detection method based on CNN and XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-network-traffic-anomaly-detection-method-based-on-cnn-and-xgboost
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“A Network Traffic anomaly Detection method based on CNN and XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-network-traffic-anomaly-detection-method-based-on-cnn-and-xgboost.
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@misc{4ortxyz_a-network-traffic-anomaly-detection-method-based-on-cnn-and-xgboost_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Network Traffic anomaly Detection method based on CNN and XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/a-network-traffic-anomaly-detection-method-based-on-cnn-and-xgboost}, note = {Accessed: 2026-05-24}}
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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Network Traffic anomaly Detection method based on CNN and XGBoost — https://4ort.xyz/entity/a-network-traffic-anomaly-detection-method-based-on-cnn-and-xgboost (retrieved 2026-05-24)
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