期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：68
期号：2
出版社：Journal of Theoretical and Applied
摘要：Privacy preservation being studied well in recent days of data publishing where the sensitive items have to be hidden without spoiling the originality of data. We propose a new approach for privacy preservation of data items while publishing transactional data sets. The proposed approach generates transactional patterns using input data set, for each item set I to N , the proposed approach generates pattern set Ps. From generated pattern set ps, we compute support and profit values to select most frequent pattern set Mps. Identified pattern set is used to compute the attribute impact matrix , which represent the sanitized data set where the sensitive items are represented with impact measure of different number of item sets. Published data could be used to infer some knowledge but they could not back track the personal information from the sanitized data base. The proposed method is a simpler one which reduces the time and space complexity.
关键词：Privacy Preservation; Knowledge Hiding; Transactional Data Set; Attribute Impact Matrix.
