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

Stiawan, Deris (2021) Important Features of CICIDS-2017 Dataset For Anomaly Detection in High Dimension and Imbalanced Class Dataset. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). ISSN 2089-3272

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Item Type: Article
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 02:40
Last Modified: 30 Dec 2021 02:40
URI: http://repository.unsri.ac.id/id/eprint/59517

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