Decomposition in data mining: a medical case study
نویسنده
چکیده
Decomposition is a tool for managing complexity in data mining and enhancing the quality of knowledge extracted form large databases. A typology of decomposition approaches applicable to data mining is presented. One of the decomposition approaches, the structured rule-feature matrix, is used as the backbone of a system for informed decision-making. Such a system can be implemented as a decision table, a decision map, or a decision atlas. The ideas presented in the paper are illustrated with examples and a medical case study.
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تاریخ انتشار 2001