Data Mining is the process of drawing out the useful information from the raw data that is present in various forms. Data Mining is defined as study of the Knowledge Discovery in database process or KDD. Data mining techniques are relevant for drawing out the useful information from the huge amount of raw data that is present in various forms. In this research work different types of classification algorithms accuracies are calculated which are widely used to draw the significant amount of data from the huge amount of raw data. Comparative analysis of different Classification Algorithms have been done using various criteria’s like accuracy, execution time (in seconds) and how much instances are correctly classified or not classified correctly.
Data Mining, J48, Random Tree, Naïve Bayes, Multilayer Perceptron, WEKA
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