Publication

Abstract : One of the challenging tasks in this era is the early detection of cancer. The early detection helps to cure the disease completely. Random Projection (RP) is extensively used to reduce the high dimensional features to low dimensional features by projecting data onto a lower space while conserving most of the variation available in the data. J48 can handle both continuous and categorical features and is able to reduce misclassification errors. In this paper we have suggested a method for cancer prediction with the help of different data mining algorithms. The aim is to find out the best filter-classifier combination for the diagnosis. The competency of the algorithms can enhance the insight in to the problem and can thereby minimise the difficulty level in diagnosis.