期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：7951-7953
出版社：TechScience Publications
摘要：Popular matter from the listed matters of data minning researchers is Privacy preserving data mining (PPDM). To strike a balance between privacy protection and knowledge discovery in the sharing process is an important issue. Main focus point of this work is privacy preserving utility mining (PPUM) and presents t an algorithms that preserve privacy through new approach of encryption to preserve privacy in dataming i.e. this approach is to hide the sensitive itemsets by applying algorithm to perform encryption to save sensitive itemsets. That whole idea is conclude from the current approach of combinational effort that performed from the HHUIF and MSICF, to achieve the goal of hiding sensitive itemsets so that the adversaries cannot mine them from the modified database. Which also work to minimizes the impact on the sanitized database of hiding sensitive itemsets.
关键词：UWPP; PPDM; MDTNA (Mine Data Through;Neha Algo. ).
