Supervised Learning Breast Cancer Data Set Analysis in MATLAB Using Novel SVM Classifier-Reference-Cited by-同舟云学术

Supervised Learning Breast Cancer Data Set Analysis in MATLAB Using Novel SVM Classifier

Published:2021 Issue: Volume: Page:255-263
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Golagani Prasanna Priya,Mahalakshmi Tummala Sita,Beebi Shaik Khasim

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9516-5_22

Reference7 articles.

1. D. Bazazeh, R. Shubair, Comparative study of machine learning algorithms for breast cancer detection and diagnosis, in 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA), Ras Al Khaimah, 1–4 (2016)

2. A.T. Azar, S.A. El-Said, Probabilistic neural network for breast cancer classification. Neural Comput. Appl. 23, 1737–1751 (2013)

3. F. Ahmad, N.A.M. Isa, Z. Hussain, S.N. Sulaiman, A genetic algorithm- based multi-objective optimization of an artificial neural network classifier for breast cancer diagnosis. Neural Comput. Appl. 23(5), 1427–1435 (2013)

4. M.K. Hasan, M.M. Islam, M.M.A. Hashem, Mathematical model development to detect breast cancer using multigene genetic programming, in 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), Dhaka (2016), pp. 574–579

5. G. James, D. Witten, T. Hastie, R. Tibshirani, An Introduction to Statistical Learning, 1st edn (2013)

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