An empirical study of supervised learning methods for breast cancer diseases

Author:

S. SivakumarORCID,Nayak Soumya RanjanORCID,Vidyanandini S.,Kumar J. Ashok,Palai G.ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference22 articles.

1. http://www.cancer.org/acs/groups/content/@research/documents/webcontent/acspc-042151.pdf.

2. Mining the breast cancer pattern using artificial neural networks and multivariate adaptive regression splines;Choua;Expert Syst. Appl.,2004

3. A rule induction algorithm for knowledge discovery and classification;Omer;Turk. J. Electr. Eng. Comput. Sci.,2013

4. An Introduction to Multivariate Statistical Analysis;Anderson,1984

5. Domains of competence of the semi-naive Bayesian network classifiers;Flores;Inf. Sci.,2014

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