Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Interpretable knowledge discovery from data with DC*

Authors
Marco Lucarelli, Ciro Castiello, Anna M. Fanelli, Corrado Mencar
Corresponding Author
Marco Lucarelli
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.115How to use a DOI?
Keywords
DC*, Knowledge discovery from data, Interpretability, sleep-related breathing disorders.
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
10.2991/ifsa-eusflat-15.2015.115
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.115How to use a DOI?
Copyright
© 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  - 10.2991/ifsa-eusflat-15.2015.115
ID  - Lucarelli2015/06
ER  -