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Improved Classification of Breast Cancer Data using Hybrid Techniques
( Vol-5,Issue-5,May 2018 )
Author(s):

R. Senkamalavalli, Dr. T. Bhuvaneswari

Keywords:

Kmeans, Support Vector Machine, Adaboost, Breast Cancer.

Abstract:

Breast cancer is the second leading cancer for women in developed countries including India. Many new cancer detection and treatment approaches were developed. The most effective way to reduce breast cancer deaths is detect it earlier. The frequent occurrence of breast cancer and its serious consequences have attracted worldwide attention in recent years. Problems such as low rate of accuracy and poor self-adaptability still exist in traditional diagnosis. In order to solve these problems, an Ada Boost-SVM classification algorithm, Combined with k-means is proposed in this research for the early diagnosis of breast cancer. The effectiveness of the proposed methods are examined by calculating its accuracy, confusion matrix which give important clues to the physicians for early diagnosis of breast cancer.

ijaers doi crossref DOI:

10.22161/ijaers.5.5.11

Paper Statistics:
  • Total View : 179
  • Downloads : 13
  • Page No: 077-081
Cite this Article:
MLA
R. Senkamalavalli et al ."Improved Classification of Breast Cancer Data using Hybrid Techniques". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol 5, no. 5, 2018, pp.077-081 AI Publications, doi:10.22161/ijaers.5.5.11
APA
R. Senkamalavalli, Dr. T. Bhuvaneswari(2018).Improved Classification of Breast Cancer Data using Hybrid Techniques. International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),5(5), 077-081. http://dx.doi.org/10.22161/ijaers.5.5.11
Chicago
R. Senkamalavalli, Dr. T. Bhuvaneswari. 2018,"Improved Classification of Breast Cancer Data using Hybrid Techniques". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).5(5):077-081. Doi: 10.22161/ijaers.5.5.11
Harvard
R. Senkamalavalli, Dr. T. Bhuvaneswari. 2018,Improved Classification of Breast Cancer Data using Hybrid Techniques, International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).5(5), pp:077-081
IEEE
R. Senkamalavalli, Dr. T. Bhuvaneswari."Improved Classification of Breast Cancer Data using Hybrid Techniques", International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol.5,no. 5, pp.077-081,2018.
Bibtex
@article {r.senkamalavalli2018improved,
title={Improved Classification of Breast Cancer Data using Hybrid Techniques},
author={R. Senkamalavalli, Dr. T. Bhuvaneswari},
journal={International Journal of Advanced Engineering Research and Science},
volume={5},
year= {2018},
}
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References:

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