Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection
Author:
Affiliation:
1. Youngstown State University, Youngstown, OH, USA
2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Funder
US Department of Energy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3391812.3396274
Reference35 articles.
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3. XGBoost
4. Anil V Deorankar and Shiwani S Thakare. 2020. Survey on Anomaly Detection of (IoT)- Internet of Things Cyberattacks Using Machine Learning. In 2020 Fourth International Conference on Computing Methodologies and Communication(ICCMC). ieeexplore.ieee.org 115--117. Anil V Deorankar and Shiwani S Thakare. 2020. Survey on Anomaly Detection of (IoT)- Internet of Things Cyberattacks Using Machine Learning. In 2020 Fourth International Conference on Computing Methodologies and Communication(ICCMC). ieeexplore.ieee.org 115--117.
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