Name
Abstract | ||
|---|---|---|
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.
|
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BFb0094829 | PKDD |
Keywords | Field | DocType |
qualitative influences,knowledge discovery,bayes classifier,data mining,naive bayes,naive bayes classifier | Information system,Interpretability,Data mining,Computer science,Artificial intelligence,Knowledge extraction,Probabilistic logic,Classifier (linguistics),Machine learning,Knowledge acquisition,Bayes classifier,Qualitative reasoning | Conference |
Volume | ISSN | ISBN |
1510 | 0302-9743 | 3-540-65068-7 |
Citations | PageRank | References |
3 | 0.47 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesus Cerquides | 1 | 280 | 27.74 |
| Ramon Lopez de Mantaras | 2 | 706 | 52.40 |