FAST: A new sampling-based algorithm for discovering association rules

被引：0
|
作者：
Bin, C
Haas, PJ
Scheuermann, P
机构：
[1] Exelixis, Inc.
[2] Dept. of ECE, Northwestern U.
来源：
18TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/ICDE.2002.994717
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A sampling-based algorithm for discovering association rules is presented. The finding associations from sampled transactions (FAST) algorithm is a refined sampling-based mining algorithm that is distinguished from other algorithms by its novel two-phase approach to sample collection. Results showed that the FAST is a promising algorithms in situations where good approximate answers suffice and the interactive, real time response is essential.
引用
收藏
页码：263 / 263
页数：1
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