Published Paper Details:

ABSTRACT There are so many diseases which are affecting human lives and it is required to detect the disease in the initial stage which can help in reducing mortality in all over the world. These days we have technology that can easily process bulk of data all together and we can get results very quickly. Among all the dangerous diseases we have seen that Cancer is the most common among people and taking lives of millions of people globally. With the help of various Data Mining algorithms we are able to predict any disease in the wink of an eye. This technology can help in medical field by predicting any disease in its early stage. Under Data Mining there are various approaches i.e. Association Rule Mining, Regression, Classification, Clustering and Anomaly Detection. Algorithms that are applied on the data sets are Support Vector Machine, Decision Tree, Artificial Neural Network, K-Nearest Neighbour etc. The process which data mining follows is known as knowledge discovery in database and it comprises five stages i.e. Selection, Processing, Transformation, data mining and Evaluation. The motive is to use any of the algorithms which can help the researchers and doctors to know about the disease in the starting stage so that the patient can get the best treatment and can get rid of the disease quickly