Actas de congresos
Exploring the data using Extended Association Rule Network
Fecha
2018-01-01Registro en:
2018 7th Brazilian Conference On Intelligent Systems (bracis). New York: Ieee, p. 330-335, 2018.
10.1109/BRACIS.2018.00064
WOS:000457627300056
Autor
Universidade de São Paulo (USP)
Itau Unibanco
Universidade Estadual Paulista (Unesp)
Institución
Resumen
In this paper, we presented the Extended Association Rule Network (ExARN) to structure, prune and analyze a set of association rules, aiming to build hypothesis candidates. The ExARN extends the ARN, proposed by [2], allowing a more complete exploration. We validate the ExARN using two databases: contact lenses and hayes-roth, both available online for download. The results were validated by comparing the ExARN to the conventional ARN and also by comparing the results with a decision tree algorithms. The approach presented promising results, showing its capability to explain a set of objective items, aiding the user on the hypothesis building.