Information Journal Paper
APA:
CopyRAVALE, U.. (2015). FEATURE SELECTION BASED HYBRID ANOMALY INTRUSION DETECTION SYSTEM USING K MEANS AND RBF KERNEL FUNCTION. PROCEDIA COMPUTER SCIENCE, 45(-), 428-435. SID. https://sid.ir/paper/707964/en
Vancouver:
CopyRAVALE U.. FEATURE SELECTION BASED HYBRID ANOMALY INTRUSION DETECTION SYSTEM USING K MEANS AND RBF KERNEL FUNCTION. PROCEDIA COMPUTER SCIENCE[Internet]. 2015;45(-):428-435. Available from: https://sid.ir/paper/707964/en
IEEE:
CopyU. RAVALE, “FEATURE SELECTION BASED HYBRID ANOMALY INTRUSION DETECTION SYSTEM USING K MEANS AND RBF KERNEL FUNCTION,” PROCEDIA COMPUTER SCIENCE, vol. 45, no. -, pp. 428–435, 2015, [Online]. Available: https://sid.ir/paper/707964/en