Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Класифікація критично важливих об’єктів інформатизації за вимогами фізичного захисту з використанням методів кластерного аналізу

Melekh O.1, Maksimovich E.1, Fisenko V.3
1 United Institute of Informatics Problems of the National Academy of Sciences of Belarus
3 United Institute of Informatics Problems NAS of Belarus

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UDC: 681.2
Publication Language: Russian
Stuc. intelekt. 2010; 15(4):666-677

Abstract: The approach to critical information objects classification by physical security requirements on the basis of the cluster analysis is proposed. Informal and mathematical problem statements are formulated. The classification methodology on the basis of objects set partitioning on non-overlapping subsets is developed. The partitioning is performed using adjacency function and partitioning criteria on the basis of set of factors in such manner that physical security requirements are the same within every objects group.

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