Preservation of the Sample Data With Help of Unrealized Training Datasets and Later Classifying It Using Modified C4.5 Algorithm
In order to protect the data centrally when they are being transferred from one party to another party so, that it cannot be used for secondary purposes unrealized training dataset is an important technique used to prevent data. With help of Unrealized training dataset algorithm it divides the sample data in two forms i.e. Tp a set of perturbing datasets and T' a set of output training datasets. The classification method used over here is C4.5 and C4.5 is the extension version of ID3 algorithm. C4.5 is the classification decision tree algorithm which uses features like handling both continuous and discrete attributes, handling missing values, purning techniques.