Linear correlation-based feature selection for network intrusion detection model

HF Eid, AE Hassanien, T Kim, S Banerjee - Advances in Security of …, 2013 - Springer
Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …
被引用次数：100 相关文章
[PDF] academia.edu

[PDF][PDF] Linear Correlation-Based Feature Selection for Network Intrusion Detection Model

HF Eid, AE Hassanien, T Kim, S Banerjee - Advances in Security of … - academia.edu
Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …
[PDF] researchgate.net

[PDF][PDF] Linear Correlation-Based Feature Selection for Network Intrusion Detection Model

HF Eid, AE Hassanien, T Kim, S Banerjee - researchgate.net
Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …

Linear Correlation-Based Feature Selection for Network Intrusion Detection Model

HF Eid, AE Hassanien, T Kim… - Advances in Security of …, 2013 - books.google.com
Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …

Linear Correlation-Based Feature Selection for Network Intrusion Detection Model

HF Eid, AE Hassanien, T Kim, S Banerjee - Advances in Security of Information … - Springer
Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …

[引用][C] Linear Correlation-Based Feature Selection For Network Intrusion Detection Model

HF Eid, AE Hassanien, T Kim, S Banerjee