| 基于垂直型分布数据的隐私性保持关联规则挖掘 |
| |
| 引用本文： | 符燕华,顾嗣扬. 基于垂直型分布数据的隐私性保持关联规则挖掘[J]. 计算机应用, 2006, 26(1): 213-0215 |
| |
| 作者姓名： | 符燕华 顾嗣扬 |
| |
| 作者单位： | 同济大学,计算机科学与工程系,上海,200092;同济大学,计算机科学与工程系,上海,200092 |
| |
| 摘 要： | 利用数量积方法从垂直型分布数据中挖掘关联规则，并且保持其隐私性。给出了数量积算法，分析其安全性，同时还举例说明如何利用数量积算法进行垂直型分布式数据挖掘。
|
| 关 键 词： | 关联规则 隐私保持 垂直型分布数据 数量积 数据挖掘 |
| 文章编号： | 1001-9081（2006）01-0213-03 |
| 收稿时间： | 2005-07-19 |
| 修稿时间： | 2005-07-192005-08-22 |
Privacy preserving association rule mining in vertically partitioned data |
| |
| FU Yan-hua,GU Si-yang. Privacy preserving association rule mining in vertically partitioned data[J]. Journal of Computer Applications, 2006, 26(1): 213-0215 |
| |
| Authors: | FU Yan-hua GU Si-yang |
| |
| Affiliation: | Department of Computer Science and Engineering, Tongji University, Shanghai 200092, China |
| |
| Abstract: | A privacy preserving association rule mining algorithm was introduced. This algorithm preserved privacy of individual values by computing scalar product. Meanwhile the algorithm of computing scalar product was given and the security was analyzed. |
| |
| Keywords: | association rules privacy preserving vertically partitioned data scalar product data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
