Knowledge Discovery in Databases
نویسنده
چکیده
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of traditional tools and techniques to discover knowledge is ruthless and does not give the right information at the right time. Knowledge discovery is defined as ``the non-trivial extraction of implicit, unknown, and potentially useful information from data''. There are many knowledge discovery methodologies in use and under development. Some of these techniques are generic, while others are domain-specific. In this paper, we present a review outlining the state-ofthe-art techniques in knowledge discovery in database systems
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