Privacy Preserving Sequential Pattern Mining in Data Stream

被引：0

作者：

Huang, Qin-Hua ^{[1
]}

机构：

[1] Shanghai Univ Polit Sci & Law, Modern Educ Tech Ctr, Shanghai 201701, Peoples R China

来源：

ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES | 2008年 / 15卷

关键词：

Privacy preserving; Data stream; Data mining;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The privacy preserving data mining technique researches have gained much attention in recent years. For data stream systems, wireless networks and mobile devices, the related stream data mining techniques research is still in its' early stage. In this paper, an data mining algorithm dealing with privacy preserving problem in data stream is presented.

引用

页码：69 / 75

页数：7

共 10 条

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