Roshan Jahan, Nida Khan, Preetam Suman, Deepak Kumar Singh


Classification and prediction are two important terms in data warehouse. The term classification denotes the class of object, and the term prediction is use to predict the result based on analysis. These both terms are equally responsible for data analysis. There are various issues which effects classification and prediction. This paper summarizes the issues and various techniques related to classification and prediction. There are four important techniques discussed in paper, they are Decision Tree, Bayesian Classification, Back Propagation and Nearest Neighbor Classification. Paper also discussed current research done by researchers.



Decision Tree, Bayesian Classification, Back Propagation, Nearest Neighbor Classification

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