文章基本信息
- 标题:The K-Anonymity Approach in Preserving the Privacy of E-Services that Implement Data Mining
- 本地全文:下载
- 作者:Ion LUNGU ; Alexandru PIRJAN
- 期刊名称:Economy Informatics
- 印刷版ISSN:1582-7941
- 出版年度:2011
- 卷号:11
- 期号:1
- 出版社:INFOREC Association
- 摘要:Mathematical Expressions, Learning Objects, Prosody, Synthetic Speech
- 关键词:K-anonymity; Data mining; Compute Unified Device Architecture; Privacy; Confidentiality