CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

Abdar, Moloud and Makarenkov, Vladimir 2019, CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer, Measurement: Journal of the International Measurement Confederation, vol. 146, pp. 557-570, doi: 10.1016/j.measurement.2019.05.022.

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Title CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer
Author(s) Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Makarenkov, Vladimir
Journal name Measurement: Journal of the International Measurement Confederation
Volume number 146
Start page 557
End page 570
Total pages 14
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-11
ISSN 0263-2241
1873-412X
Keyword(s) Science & Technology
Technology
Engineering, Multidisciplinary
Instruments & Instrumentation
Engineering
Data mining
Machine learning
Ensemble technique
Breast cancer
Support vector machine
Artificial neural network
SUPPORT VECTOR MACHINES
FEATURE-SELECTION
RULES
ALGORITHMS
PREDICTION
SYSTEM
MODEL
Language eng
DOI 10.1016/j.measurement.2019.05.022
Indigenous content off
Field of Research 0102 Applied Mathematics
0801 Artificial Intelligence and Image Processing
0913 Mechanical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30134229

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