MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution-Reference-Cited by-同舟云学术

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution

Published:2017-02 Issue: Volume:117 Page:70-78
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Pulgar-Rubio F.,Rivera-Rivas A.J.,Pérez-Godoy M.D.,González P.,Carmona C.J.,del Jesus M.J.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference67 articles.

1. KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;J. Multiple-Valued Logic Soft Comput.,2011

2. SD-Map - a fast algorithm for exhaustive subgroup discovery;Atzmueller,2006

3. Towards knowledge-intensive subgroup discovery;Atzmueller,2004

4. Detecting group differences: mining contrast sets;Bay;Data Min. Knowl. Discovery,2001

5. Recent advances and emerging challenges of feature selection in the context of big data;Bolón-Canedo;Knowl.-Based Syst.,2015

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