Parallel and distributed association mining: A survey

被引：235

作者：

Zaki, MJ ^{[1
]}

机构：

[1] Rensselaer Polytech Inst, Dept Comp Sci, Troy, NY 12180 USA

来源：

IEEE CONCURRENCY | 1999年 / 7卷 / 04期

关键词：

D O I：

10.1109/4434.806975

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The author surveys the state of the art in parallel and distributed association-rule-mining algorithms and uncovers the field's challenges and open research problems. This survey can serve as a reference for both researchers and practitioners.

引用

页码：14 / 25

页数：12

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