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