Data Modelling and Specific Rule Generation via Data Mining Techniques
作者： Plamena Andreeva
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摘要: Data Mining techniques are useful for analyzing data from many different dimensions and identifying relationships. Non-parametric models explored a heuristic approach is proposed specific rule generation in practical cases. The most suited algorithm application presented learning methods evaluation given. A problem of feature extraction inferring heart diseases set considered experimental results discussed.
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