Parallel implementation of association rule in Data Mining

被引：0
|
作者：
Einakian, Sussan [1 ]
Ghanbari, M. [1 ]
机构：
[1] Univ Alabama, Huntsville, AL 35899 USA
来源：
Proceedings of the Thirty-Eighth Southeastern Symposium on System Theory | 2004年
关键词：
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：
This paper discusses parallel Data Mining architecture for large volume of data which eventually scanning billions of rows of data per record. Here we compare the different parallel algorithms for Association Rule Mining and discuss the advantages and disadvantages of each method. We also compare the computational time of serial and parallel algorithms for Association Rule Mining.
引用
收藏
页码：21 / 26
页数：6
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