A Classification Based Dependent Approach for Suppressing Data
Data mining plays an important role in internet with the computer technology this makes easy to collect the information from the related data sets. The different methods used in this paper are decision tree algorithm, the decision tree algorithm used hears is to classify the data elements by considering a set of constraints, the authors consider this method to suppress the data by doing so they can secure the data. They extend their work on micro data suppression to prevent not only probabilistic but also decision tree classification based inference, and to handle not only single but also multiple confidential data value suppression to reduce the side-effects. The paper aims to enhance the Data classification and Data Generalization.