A Review on ‘Privacy Preservation Data Mining’
Shivangi Modhiya, Jay Vala, Prem Balani · International journal of advance research and innovative ideas in education · 2018
Privacy Preserving Data Mining (PPDM) is used to mine the potential valuable knowledge without revealing the personal information of the individuals. Now a days due to data privacy has become a major concern as quasi and sensitive attribute in terms of privacy needs a lot of research existing researches on privacy of quasi and sensitive attribute are time consuming and also are not space efficient so by this research to trying different techniques used in various papers for establish that which method is more convenient. It is often highly valuable for organizations to have their data analyzed by external agents.. In the era of information society, sharing and publishing data has been a common practice for their wealth of opportunities. However, the process of data collection and data distribution may lead to disclosure of their privacy. Privacy is necessary to conceal private information before it is shared, exchanged or published. PPDM has thus has received a significant amount of attention in the research literature in the recent years. Various methods have been proposed to achieve the expected goal. In this paper we have given a brief discussion on different dimensions of classification of privacy preservation techniques.