• Manasa.K

Nowadays one of the major application areas of data mining is medical diagnosis of diseases and treatment. Data mining techniques are and also used to find correlations and associations between different diseases. Present days many people are dying because of sudden heart attack, brain stroke, liver failure, kidney failure, cancer and etc. Breast cancer is one of the leading causes of death in women. In this paper we focused on how data mining techniques can be used to predict breast cancer in advance such that patient is well treated. We used J48 machine learning algorithms supported by WEKA to predict Breast cancer in advance. Experimental analysis is done on breast cancer data set supported by WEKA. Data set contains 286 instances each instance having 10 attributes relevant to breast cancer including class label attribute. We used 65% data for training and 35% data for testing. The algorithm has shown 72% accuracy in prediction.

Classification, Breast cancer, machine learning, C4.5, J48 algorithm

"A MACHINE LEARNING APPROACH TO PREDICT BREAST CANCER USING DECISION TREE BASED ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.631-633, August-2018, Available :http://www.jetir.org/papers/JETIRA006111.pdf

"A MACHINE LEARNING APPROACH TO PREDICT BREAST CANCER USING DECISION TREE BASED ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp631-633, August-2018, Available at : http://www.jetir.org/papers/JETIRA006111.pdf