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An instrusion detection system using random forest based on class association rules

Proceedings of the international symposium on artificial life and robotics (AROB) Page 148-153
published_at 2016-01-20
Title
An instrusion detection system using random forest based on class association rules
Creators Gotoh Shun
Creators Mabu Shingo
Creators Obayashi Masanao
Creators Kuremoto Takashi
Creator Keywords
Association Rule Data mining Genetic algorithm Genetic Network Programming Intrusion detection system
The Twenty-First International Symposium on Artificial Life and Robotics 2016 (AROB 21st 2016), Oita, Japan, January 20-22, 2016
Languages eng
Resource Type conference paper
Date Issued 2016-01-20
File Version Not Applicable (or Unknown)
Access Rights metadata only access
Schools 大学院創成科学研究科(工学)