Interpretability analysis of fuzzy association rules supported by fingrams
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- interpretability fuzzy association rules rule co-firing social network analysis
This work extends fuzzy inference-grams (fingrams) to fuzzy association rules (FAR), yielding FARFingrams. Their analysis pays attention to interpretability issues. An important open problem in association rule mining is the huge number of frequent itemsets and interesting rules to discover and communicate to the user. FAR-Fingrams address such problem through visual analysis. They ease the selection of rules according to the user’s preferences and quality criteria. FAR-Fingrams has been applied to a real-world problem that deals with finding out the most interesting rules related to explain how different users evaluate the degree of femininity of several chairs.
- © 2013, 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/).
Cite this article
TY - CONF AU - David P. Pancho AU - Jose M. Alonso AU - Jesús Alcalá-Fdez AU - Luis Magdalena PY - 2013/08 DA - 2013/08 TI - Interpretability analysis of fuzzy association rules supported by fingrams BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 509 EP - 514 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.71 DO - https://doi.org/10.2991/eusflat.2013.71 ID - P.Pancho2013/08 ER -