A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

TitleA Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns
Publication TypeConference Paper
Year of Publication2020
AuthorsCarmona, C. J., González P., García-Vico A.M., and del Jesus M. J.
Conference Name15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
Pagination100
KeywordsEmerging pattern mining, Fuzzy patterns, Many objective evolutionary algorithm
Abstract

A preliminary many objective algorithm for extracting fuzzy emerging patterns is presented in this contribution. The proposed algorithm employs fuzzy logic together with an evolutionary algorithm. The aim is to expand the complex search space that we have in emerging pattern mining.
The experimental study presented in this paper faces this new proposal regarding an ensemble of one of the most used algorithms within supervised descriptive rule discovery. Results presents a set of patterns with a major interpretability and precision for the new proposal which could be interesting for experts in real-world applications.

Notes

BES-2016-077738

DOI10.1007/978-3-030-57802-2_10