correspondence: Important Features of CICIDS-2017 Dataset For Anomaly Detection in High Dimension and Imbalanced Class Dataset

Stiawan, Deris (2021) correspondence: Important Features of CICIDS-2017 Dataset For Anomaly Detection in High Dimension and Imbalanced Class Dataset. Institute of Advanced Engineering and Science (IAES).

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correspondance IJEEI_CICIDS.pdf

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Item Type: Other
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Dr. Deris Stiawan
Date Deposited: 30 Dec 2021 02:56
Last Modified: 30 Dec 2021 02:56
URI: http://repository.unsri.ac.id/id/eprint/59655

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