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An Exploration on Different Data Classification Techniques
Author Name : Nishant Jakhar
Abstract: KDD is the knowledge discovery process applied over data derives some valuable decisions. A series of process are applied to improve the data integrity, to extract the features and to take the predictive decisions. In this paper, a study on different classification algorithms is provided. These classifiers are the supervised learning method that first some process the known dataset under learning phase and generate some rules. Later on these rules are applied on some new dataset to take the predictive decision. The paper has explored the method and characterization of some of these common data classification techniques.