A Study of Various Privacy Preserving Data Ming Algorithms for Datasets

Abstract

Privacy, security and accuracy are the major issues to be concern in field of data mining data mining when data is shared. A number of data mining algorithms are already introduced for big data when we are talking about Privacy preserving data mining. These algorithms categories data into groups. Further these groups can be used for extract useful information. Such kind of data is used in surveys, calculations etc. An election data can be considered as an example for such kind of groups. The groups are made in a, b, ab, cd category. Each group is not aware that which group has which data. In the end using data mining algorithms the desired data can be extracted.