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Intrusion Detection System Using Principal Component Analysis with Random Forest Approach
Author(s) -
J. Sanjay Rahul,
J. Sai Keerthana,
G. Tejaswini,
R Kalpana
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.42763
Subject(s) - random forest , principal component analysis , computer science , naive bayes classifier , intrusion detection system , support vector machine , decision tree , artificial intelligence , random tree , data mining , pattern recognition (psychology) , component (thermodynamics) , tree (set theory) , word error rate , machine learning , mathematics , mathematical analysis , physics , motion planning , robot , thermodynamics

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