This research is to classify and filter the large amount of data. The main purpose of this research is to reduce the error rate of the data and to improve the accuracy. In the previous techniques of classification there may be some miss classification. But in this research the problem of misclassification is reduced. The work is presented by this research is some modifications in the classification technique. Therefore, it’s a good enterprise solution for filtering. This will optimize the system performance and make some improvements on the previous algorithm. This will give the better results from the previous one.
error rate, Techniques, class labels spam and non-spam.