首页|Studies from Al-Hikmah University Reveal New Findings on Machine Learning (A Lea rning Approach for The Identification of Network Intrusions Based on Ensemble XG Boost Classifier)
Studies from Al-Hikmah University Reveal New Findings on Machine Learning (A Lea rning Approach for The Identification of Network Intrusions Based on Ensemble XG Boost Classifier)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Al-Hikmah Univers ity by NewsRx correspondents, research stated, “The limitation ofsignature-base d Intrusion Detection systems has given rise for the popularity of Machine learn ing (ML)approaches r for building such intrusion detection systems (IDSs). ML i s a sub-filed of Artificial Intelligencethat enables algorithms to learn from d ata and its applications have been widely accepted and used inmany domains.”
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