Open AccessCluster Analysis-Based Approach Features Selection on Machine Learning for Detecting Intrusion
Author(s) -
Mohammad S. Aziz,
Tohari Ahmad
Publication year - 2019
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2019.0831.22
Subject(s) - computer science , intrusion detection system , cluster (spacecraft) , selection (genetic algorithm) , artificial intelligence , machine learning , intrusion , data mining , pattern recognition (psychology) , operating system , geochemistry , geology