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- Title
Large-scale data mining using genetics-based machine learning.
- Authors
Bacardit, Jaume; Llorà, Xavier
- Abstract
In the last decade, genetics-based machine learning methods have shown their competence in large-scale data mining tasks because of the scalability capacity that these techniques have demonstrated. This capacity goes beyond the innate massive parallelism of evolutionary computation methods by the proposal of a variety of mechanisms specifically tailored for machine learning tasks, including knowledge representations that exploit regularities in the datasets, hardware accelerations or data-intensive computing methods, among others. This paper reviews different classes of methods that alone or (in many cases) combined accelerate genetics-based machine learning methods. © 2013 Wiley Periodicals, Inc.
- Publication
WIREs: Data Mining & Knowledge Discovery, 2013, Vol 3, Issue 1, p37
- ISSN
1942-4787
- Publication type
Article
- DOI
10.1002/widm.1078