International Journal of Engineering and Technology

Prediction is considered as an important factor to predict the future results from the existing information. Decision tree methodology is widely used for predicting the results. But this is not efficient to handle the large, heterogeneous or multi-featured type of data sources. So an adaptive prediction method is proposed by combining the statistical analysis approach of the data mining methods along with the decision tree prediction methodology. So when dealing with large and multi-server based data, the prediction can be done more effectively and less time consuming than the existing prediction methods. For the statistical analysis, incremental clustering and multiple interesting measures are used for a better prediction.