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A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

Beheshti Roui, M, Zomorodi, M, Sarvelayati, M, Abdar, Moloud, Noori, H, Pławiak, P, Tadeusiewicz, R, Zhou, X, Khosravi, Abbas, Nahavandi, Saeid and Acharya, UR 2021, A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs, Knowledge-Based Systems, vol. 231, pp. 1-17, doi: 10.1016/j.knosys.2021.107419.

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Title A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs
Author(s) Beheshti Roui, M
Zomorodi, M
Sarvelayati, M
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Noori, H
Pławiak, P
Tadeusiewicz, R
Zhou, X
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Acharya, UR
Journal name Knowledge-Based Systems
Volume number 231
Article ID 107419
Start page 1
End page 17
Total pages 17
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021
ISSN 0950-7051
1872-7409
Keyword(s) Classification rules
CLASSIFIERS
Computer Science
Computer Science, Artificial Intelligence
Data mining
Genetic algorithm
GPU programming
Machine learning
Rule discovery
Science & Technology
Technology
Language eng
DOI 10.1016/j.knosys.2021.107419
Field of Research 08 Information and Computing Sciences
15 Commerce, Management, Tourism and Services
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30154865

Document type: Journal Article
Collection: Institute for Intelligent Systems Research and Innovation (IISRI)
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Created: Fri, 27 Aug 2021, 10:56:32 EST

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