Research issues in data stream association rule mining

被引：113

作者：

Jiang, N ^{[1
]}

Gruenwald, L ^{[1
]}

机构：

[1] Univ Oklahoma, Sch Comp Sci, Norman, OK 73019 USA

来源：

SIGMOD RECORD | 2006年 / 35卷 / 01期

关键词：

D O I：

10.1145/1121995.1121998

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in traditional static databases, data streams typically arrive continuously in high speed with huge amount and changing data distribution. This raises new issues that need to be considered when developing association rule mining techniques for stream data. This paper discusses those issues and how they are addressed in the existing literature.

引用

页码：14 / 19

页数：6