期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：6
页码：6726-6728
出版社：IJECS
摘要：Now a d a y ’ s many people are rapidly increases the use of social networks like facebook. By using thesenetworks so many number of users are connected with their friends and relatives. Some of the user related data should beprivate in the networks. To launch presumption attacks using released social networking data to forecast personal data. Threepossible refining techniques that could be used in different situations. Discover the effectiveness of these techniques andchallenge to use methods of collective presumption to discover sensitive attributes of the data set. So then decrease theeffectiveness of both local and relational classification algorithms by using the sanitization methods can describe
关键词：Social network analysis; data mining; social;network privacy
