We review some approaches to qualitative uncertainty and propose a new one based on the idea of Absolute Order of Magnitude. We show that our ideas can be useful for Knowledge Discovery by introducing a derivation of the Naive-Bayes classifier based on them: the Qualitative Bayes Classifier. This classification method keeps Naive-Bayes accuracy while gaining interpretability, so we think it can be useful for the Data Mining step of the Knowledge Discovery process.
CITATION STYLE
Cerquides, J., & de Màntaras, R. L. (1998). Knowledge discovery with qualitative influences and synergies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1510, pp. 273–281). Springer Verlag. https://doi.org/10.1007/bfb0094829
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