An Efficient Algorithm for Privacy Preserving Data Mining Using Hybrid Transformation
Data mining techniques are used to retrieve the knowledge from large databases that helps the organizations to establish the business effectively in the competitive world. Sometimes, it violates privacy issues of individual customers. In this paper, the authors proposes An algorithm, addresses the problem of privacy issues related to the individual customers and also propose a transformation technique based on a Walsh-Hadamard Transformation (WHT) and rotation. The WHT generates an orthogonal matrix, it transfers entire data into new domain but maintain the distance between the data records these records can be reconstructed by applying statistical based techniques i.e. inverse matrix, so this problem is resolved by applying Rotation transformation.