期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：5-4
出版社：Seventh Sense Research Group
摘要：Privacypreserving data mining is the area of data mining that used to safeguard sensitive information from unsanctioned disclosure .The problem of privacypreserving data mining has become more important in recent years because of the increasing ability to store personal data about users. A number of techniques such as randomization and kanonymity ,bucketization,generlization have been proposed in recent years in order to perform privacypreserving data mining. For highdimension data by using generalization significant amount of information is lost according to recent works. Whereas the Bucketization technique does not forbid membership and does not applicable to the data that does not have a clear distinction between sensitive attributes and quasiidentifying attributes Thus, this paper shows a solution to preserve privacy of high dimensional data.
