The healthcare industry contains a large amount of information that is difficult to process by means of manual methods. Big data is too valuable to extract information and to form relationships in the area of large data sets. All the clustering techniques are utilized to gather things that are like each other. In this paper, we propose an equal k-implies grouping calculation dependent on MapReduce, which is a straightforward yet amazing equal programming procedure with enormous information examination. The test results show that the proposed calculation can be proficiently measure huge datasets on item equipment.
J.Sukanya, Dr.K.Rajiv Gandhi, Dr. V. Palanisamy (2021); Heart Disease Prediction using Cluster Based MapReduce Paradigm; International Journal of Scientific and Research Publications (IJSRP)
11(3) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.11.03.2021.p11167