FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery
Authors
Cristobal J. Carmona, Pedro González, María José del Jesús
Corresponding Author
Cristobal J. Carmona
Available Online June 2015.
- DOI
- 10.2991/ifsa-eusflat-15.2015.65How to use a DOI?
- Keywords
- Genetic programming, subgroup discovery, evolutionary fuzzy system.
- Abstract
Evolutionary Fuzzy Systems (EFSs) are fuzzy systems augmented by a learning process based on evolutionary computation such as evolutionary algorithms (EAs). These systems contribute with several advantages in the development of algorithms, and specifically in the development of subgroup discovery (SD) approaches. SD is a descriptive data mining technique using supervised learning in order to describe data with respect to a property of interest. This paper present the main features of the FuGePSD algorithm, an EFS based on genetic programming and fuzzy logic. An experimental study with a wide number of datasets shows the quality of this algorithm with respect to the remaining EFSs for SD presented throughout the literature.
- 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 - Cristobal J. Carmona AU - Pedro González AU - María José del Jesús PY - 2015/06 DA - 2015/06 TI - FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery 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 - 447 EP - 454 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.65 DO - 10.2991/ifsa-eusflat-15.2015.65 ID - Carmona2015/06 ER -