Hasil Penilian Sejawat Sebidang Prosiding: A Survey on The Accuracy of Machine Learning Techniques for Intrusion and Anomaly Detection on Public Data Sets

Tjut Adek, Rizal (2020) Hasil Penilian Sejawat Sebidang Prosiding: A Survey on The Accuracy of Machine Learning Techniques for Intrusion and Anomaly Detection on Public Data Sets. In: 2020 International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA), 16-17 July 2020, Medan.

[img]
Preview
 Text
Prosiding DATABIA.pdf
Download (1MB) | Preview
Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology & Engineering > TI Informatics, Information System
Divisions: Faculty of Engineering > Department of Information System
Depositing User: Mr. Rizal Tjut Adek
Date Deposited: 25 Oct 2021 06:58
Last Modified: 27 Apr 2022 04:05
URI: http://repository.unimal.ac.id/id/eprint/6828

Actions (login required)

View Item View Item
Digital Library Universitas Malikussaleh is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.