Approach to Association and Classification Rules Visualization

Abstract

The results obtained from the use of Data Mining methods are not always convenient for human perception. In a set of associative or classification rules, in mathematical formulas, it is quite difficult for a person to quickly and easily find new and useful knowledge for him. In this regard, there is a need to create visual images of Data Mining models in a form that is convenient for human perception. In this paper the options for visualization of models of associative and classification rules are described. In each case, the advantages and disadvantages are identified, and the models visualization options are selected that have the most convenient form of presenting the results for human perception, the best in terms of presenting the information that the user may need for further analysis and decision making.