• Ms. Sindhuja C
• Ms. Kavitha S

Data mining is a process used by companies to turn raw data into useful information. It is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. This paper studies various data mining techniques for breast cancer Diagnosis. This paper reviews about the parameters and techniques used to diagnosis breast cancer in begnin or malignant stage. Various data mining techniques were used in diagnosis like k-nearest, Bayes classifier, fuzzy-c-means, neural network, thresholding etc. has been explored in this paper.

Breast cancer diagnosis, Data mining Techniques.

"Empirical Study on Data Mining Techniques For Breast Cancer Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 9, page no.50-55, September 2019, Available :http://www.jetir.org/papers/JETIRDD06010.pdf

"Empirical Study on Data Mining Techniques For Breast Cancer Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 9, page no. pp50-55, September 2019, Available at : http://www.jetir.org/papers/JETIRDD06010.pdf