A Fuzzy Rule Mining Approach involving Absent Items

DOI

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.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (EUSFLAT-11)
PB  - Atlantis Press
SP  - 275
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.126
DO  - 10.2991/eusflat.2011.126
ID  - Delgado2011/08
ER  -