New 3D Visualization and Validation Tool for Displaying Association Rules and Their Associated Classifiers

摘要

The rapid evolution of data generation and storage techniques allowed many organizations to create large databases and store valuable information. These databases are becoming less exploited even when they hide potentially useful knowledge for the organization. The extraction of this buried information inside these voluminous data bases is managed by “Data Mining”. In this context, many association rules extraction techniques have been developed, but the process of presentation and evaluations is not efficient and has yet to be improved. Therefore, solving these problems let us give a general solution that uses a 3D visualization engine and optimization techniques to reliably display and judge association rules and their belonging to their corresponding classes to give decision makers less room for errors.