Interpretability analysis of fuzzy association rules supported by fingrams

DOI

10.2991/eusflat.2013.71How to use a DOI?

Keywords

interpretability fuzzy association rules rule co-firing social network analysis

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/eusflat.2013.71
ID  - P.Pancho2013/08
ER  -