EXTRACTING KNOWLEDGE FROM DATABASES THROUGH NEURO-FUZZY MODEL
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Abstract
Briefly discusses the technology of extraction of knowledge and types of extracted knowledge. A method is proposed for extracting knowledge represented as sets of association rules “IF ..., THEN ...”. The method is implemented using neural-fuzzy modeling of the subject area. We describe the techniques for constructing a fuzzy logical model of the analyzed domain and how to use neural networks to highlight fuzzy rules. Considered software for constructing a fuzzy model. An algorithm for extracting knowledge from the databases being analyzed is described.
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References
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