Bounded Support and Confidence over Evidential Databases

International audienceIn this work, we propose a new definition of support and confidence measures based on intervalrepresentation. Moreover, a new algorithm, named EBS-Apriori, based on these bounded mea-sures and several pruning strategies is developed. A new associative classifier, named WEvAC,based on fusion and weighting technique is implemented and tested. Experiments are conductedusing several database benchmarks. Performance analysis showed a better prediction outcomefor our proposed approach in comparison with several literature-based methods