COMPARISON OF DIFFERENT DATASETS USING VARIOUS CLASSIFICATION TECHNIQUES WITH WEKA?

Data Mining refers to mining or extracting knowledge from huge volume of data. Classification is used to classify each item in set of data into one of the predefined set of classes. In data mining, an important technique is classification, generally used in broad applications, which classifies various kinds of data. In this paper, different datasets from University of California, Irvine (UCI) are compared with different classification techniques. Each technique has been evaluated with respect to accuracy and execution time and performance evaluation has been carried out with J48, Simple CART (Classification and Regression Testing), and BayesNet and NaiveBayesUpdatable Classification algorithm.