ASSOCIATION RULE HIDING OVER DATA STREAMS

被引：0

作者：

Gunay, Ufuk ^{[1
]}

Gundem, Taflan Imre ^{[1
]}

机构：

[1] Bogazici Univ, Dept Comp Engn, TR-34342 Istanbul, Turkey

来源：

INFORMATION TECHNOLOGY AND CONTROL | 2009年 / 38卷 / 02期

关键词：

Association rule mining; stream mining; association rule hiding;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Association rule mining is used in various applications. Also information systems may need to take privacy issues into account when releasing data to outside parties. Due to recent advances, releasing data to other parties may be done in a streaming fashion. In this paper, we introduce a new system in which association rule mining over data streams and association rule hiding for traditional databases are merged. The stream association rule hiding algorithm presented can be applied on both raw data and template guided XML data. The algorithms presented are implemented and tested.

引用

页码：125 / 134

页数：10

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