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A Novel Methodology for Database Knowledge Discovery

This paper presents the rough set and genetic algorithms application to knowledge discovery in databases (RSGAKD). The purpose of the methodology is to use specified data for knowledge extraction from computer security logs. The methodology is outlined in terms of its objectives, scope, constraints, assumptions, and tools. The framework introduces rough set based knowledge approach. Where appropriate the procedures associated with the RSGAKD methodology are described. Key-Words:Database, Knowledge Discovery, Intrusion Detection, Rough Sets.