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2 Ergebnisse
1
Performance Comparison of Network Intrusion Detection Syste..:
, In:
Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence
,
Meena, Gaurav
;
Dhanwal, Babita
;
Mahrishi, Mehul
. - p. 110-115 , 2021
Link:
https://dl.acm.org/doi/10.1145/3484824.3484878
2
Performance Comparison of Network Intrusion Detection Syste..:
, In:
Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence
,
Meena, Gaurav
;
Dhanwal, Babita
;
Mahrishi, Mehul
. - p. 110-115 , 2021
Link:
https://dl.acm.org/doi/10.1145/3484824.3484878
RT T1
Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence
: T1
Performance Comparison of Network Intrusion Detection System Based on Different Pre-processing Methods and Deep Neural Network
UL https://suche.suub.uni-bremen.de/peid=acm-3484878&Exemplar=1&LAN=DE A1 Meena, Gaurav A1 Dhanwal, Babita A1 Mahrishi, Mehul A1 Hiran, Kamal Kant PB ACM YR 2021 K1 Autoencoder K1 Deep learning K1 Feature encoding K1 Feature scaling K1 Feature selection K1 Intrusion detection K1 Neural network K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 110 OP 115 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3484824.3484878 DO https://dl.acm.org/doi/10.1145/3484824.3484878 SF ELIB - SuUB Bremen RT T1
Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence
: T1
Performance Comparison of Network Intrusion Detection System Based on Different Pre-processing Methods and Deep Neural Network
UL https://suche.suub.uni-bremen.de/peid=acm-3484878&Exemplar=1&LAN=DE A1 Meena, Gaurav A1 Dhanwal, Babita A1 Mahrishi, Mehul A1 Hiran, Kamal Kant PB ACM YR 2021 K1 Autoencoder K1 Deep learning K1 Feature encoding K1 Feature scaling K1 Feature selection K1 Intrusion detection K1 Neural network K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 110 OP 115 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3484824.3484878 DO https://dl.acm.org/doi/10.1145/3484824.3484878 SF ELIB - SuUB Bremen
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