Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6862015 | Knowledge-Based Systems | 2018 | 12 Pages |
Abstract
The paper shows how the use of the weighted relative accuracy allows the experts to distinguish between interesting subgroups, emerging and/or contrasting rules thanks to the relation between the quality measures employed in the search process for different models. In addition, this relationship enables us to analyse the main differences and/or similarities between the different techniques within supervised descriptive rule discovery. This scenario opens up new challenges for the supervised descriptive rule learning models in analysing and developing descriptive models with a new perspective.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
C.J. Carmona, M.J. del Jesus, F. Herrera,