Interpretable knowledge discovery from data with DC*
- https://doi.org/10.2991/ifsa-eusflat-15.2015.115How to use a DOI?
- DC*, Knowledge discovery from data, Interpretability, sleep-related breathing disorders.
We present DC* (Double Clustering with A*) as an information granulation method specifically suited for deriving interpretable knowledge from data. DC* is based on two main clustering stages: the first is devoted to compressing multi-dimensional data into few prototypes that grab the main relationships among data; the second is aimed at finding a proper fuzzy granulation of each input feature so that the relations among data can be linguistically described in terms of fuzzy classification rules. We applied DC* as a stage in a knowledge discovery process, aimed at finding interpretable diagnostic rules for sleep-related breathing disorders.
- © 2015, 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 - Marco Lucarelli AU - Ciro Castiello AU - Anna M. Fanelli AU - Corrado Mencar PY - 2015/06 DA - 2015/06 TI - Interpretable knowledge discovery from data with DC* BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 815 EP - 822 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.115 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.115 ID - Lucarelli2015/06 ER -