| Autor: |
José Carlos Ferreira da Rocha, Alaine M. Guimarães, Valter L. Estevam Jr. |
| Jazyk: |
English<br />Portuguese |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Revista Brasileira de Computação Aplicada, Vol 11, Iss 1, Pp 59-66 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2176-6649 |
| DOI: |
10.5335/rbca.v11i1.8820 |
| Popis: |
This paper presents an approach that uses probabilistic logic reasoning to compute subjective interestingness scores for classification rules. In the proposed approach, domain knowledge is represented as a probabilistic logic program that encodes information from experts and statistical reports. The computation of interestingness scores is performed by a procedure that applies linear programming to reasoning regarding the probabilities of interest. It provides a mechanism to calculate probability-based subjective interestingness scores. Further, a sample application illustrates the use of the described approach. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
