Certain investigations on utilizing different noise schemes for additive and multiplicative data perturbation in privacy preserving data mining

Abstract

Data mining is the process of extracting useful information from large amount of historical data The process involves various steps including data pre processing data transformation data mining and interpretation of results The major tasks of data mining process namely association rule mining clustering classification and regression play a predominant role in todays information era These techniques are used to uncover useful patterns from the large dataset Data mining is a major step in the process of knowledge discovery in databases Due to the various applications data mining stands as a promising field for the current information systems It has fascinated an enormous deal of attention in industry and society because of its huge availability of data and the looming need for transforming this data into useful patterns and knowledge The applications of data mining include business analysis science technology exploration customer retention detection of fraud etc newline