A Survey on Breast Cancer Prediction Using Data Mining Techniques

被引:0
|
作者
Jacob, Dona Sara [1 ]
Viswan, Rakhi [1 ]
Manju, V. [1 ]
PadmaSuresh, L. [2 ]
Raj, Shine [1 ]
机构
[1] Univ Kerala, Baselios Mathews Coll Engn 2, Dept Comp Sci & Engn, Kollam, Kerala, India
[2] Univ Kerala, APJ Abdul Kalam Technol Univ, Baselios Mathews Coll Engn 2, Kollam, Kerala, India
关键词
WEKA; SVM; C5.0; Breast Cancer; PAM; EM; Hyper plane;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In today's world Breast cancer is one of the main problems faced by women. Identifying cancer is the first stage and is always challenging. Detection and nursing of the breast cancer have become an urgent. Breast cancer, is generally seen tumor in Indian women. Early treatments of breast cancer have become an extremely crucial work to do, not only helps to cure cancer but also helps in curative of its incidence. Today, there are different kinds of methods and data mining techniques and diverse process like knowledge discovery are developed for anticipating breast cancer. As per the survey, we perform a comparison of diverse classification and clustering algorithms. Varied classification algorithms and the clustering algorithm are used. The outcome indicates that the classification algorithms are superior predictors than the clustering algorithms.
引用
收藏
页码:256 / 258
页数:3
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