Performance Analysis of Different Data mining Techniques over Heart Disease dataset

摘要: Data Mining is an analytic process designed to explore data (usually large amounts of - typically business or market related also known as "big data") in search consistent patterns and/or systematic relationships between variables, and then validate the findings by applying detected new subsets data. The ultimate goal mining prediction predictive most common type one that has direct applications. Classification trees are used predict membership cases objects classes a categorical dependent variable from their measurements on more predictor variables. tree analysis main techniques Mining. During my research, I had analyzed various classification algorithms compared performance aspects for time taken build model, using different distance function. result being tested set which UCI repositories. aim judge efficiency Heart Disease dataset determine optimum algorithm. depends many factors encompassing validation mode, function, nature dataset.