Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

A Fuzzy Rule Mining Approach involving Absent Items

Authors
Miguel Delgado, Maria Dolores Ruiz, Daniel Sanchez, José Maria Serrano
Corresponding Author
Miguel Delgado
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.126How to use a DOI?
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2011.126How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Miguel Delgado
AU  - Maria Dolores Ruiz
AU  - Daniel Sanchez
AU  - José Maria Serrano
PY  - 2011/08
DA  - 2011/08
TI  - A Fuzzy Rule Mining Approach involving Absent Items
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 275
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.126
DO  - https://doi.org/10.2991/eusflat.2011.126
ID  - Delgado2011/08
ER  -