期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：10
出版社：S.S. Mishra
摘要：The protection of information from illegal access has been a long term goal for businesses and government organizations. Recent progresses in the field of the data mining algorithms have expands the risk while releasing data outside. The key problem is not still inspected; there is the need to balance privacy of disclosed data with the appropriate need of data users. Every disclosure method affects the data and modifies true value and relationship. In this thesis we remove this drawback. In other techniques non-sensitive rules hidden (falsely) as a side effect and artificial rules falsely generated in other rule hiding techniques. In this paper we present a new approach that necessarily changes few transactions in the transaction database by decreasing support or confidence of sensitive rules without any side effect.
关键词：Privacy Preserving Data Mining; Association Rule Mining; Sensitive Rule Hiding.
