A Fuzzy Rule Mining Approach involving Absent Items
Miguel Delgado, Maria Dolores Ruiz, Daniel Sanchez, José Maria Serrano
Available Online August 2011.
- https://doi.org/10.2991/eusflat.2011.126How to use a DOI?
- Data mining, Fuzzy association rules, absence of items, negative rules.
- 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.
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 -