title: |
A Fuzzy Rule Mining Approach involving Absent Items |
|
publication: |
||
part of series: |
Advances in Intelligent Systems Research | |
| pages: | 275 - 282 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Miguel Delgado, María-Dolores Ruiz, Daniel Sánchez and José-María Serrano |
|
publication date: |
July 2011 |
|
keywords: |
Data mining, Fuzzy association rules,
absence of items, negative rules. |
|
abstract: |
In this paper we present how to extract fuzzy association rules involving both the presence and the
absence of items using a fuzzy rule mining procedure introduced by the authors in previous works.
The rule mining procedure is based on the GUHA
logical model, fuzzified via a recently proposed representation of gradualness. We present some results
obtained with real datasets. |
|
copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
|
full text: |