Data Modelling and Specific Rule Generation via Data Mining Techniques
Plamena Andreeva · 2006
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.