International Journal of Computer Applications
As the people daily lives has become digitization which led to an explosion in the collection of data by organization and individuals. Organization pushes their vast amount of data into big data clusters, but most have implemented zero security measures. Protection on confidentiality of these data is very important. In recent years, privacy-preserving data mining has been emerged as a popular research area for the security of sensitive information in the network. In this paper, the authors study the extraction of knowledge or pattern from big data maintaining the commercial or legislative privacy constraints.