Premiers résultats pour un assistant utilisateur en fouille visuelle de données
Résumé
We deal in this paper with the problem of automating the process of choosing a visualization and its parameters in data mining. To solve this problem, we have developed a user assistant that performs 2 steps: the system start by suggesting to users different matchings between their database and a set of the visualizations. These matchings are generated by using a knowledge-based heuristic. Then, in order to refine the different parameter settings suggested by the system, we use an interactive genetic algorithm which allows users to visually evaluate and adjust these parameters.