Knowledge Discovery with Qualitative Influences and Synergies

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.

• Type: Conference
• Year: 1998
• Where: PKDD
• Authors: Jesús Cerquides, Ramon López de Mántaras
• Keywords: Data Mining, Knowledge Discovery, Naive-Bayes Classifier, PKDD 1998, Qualitative Uncertainty