By Topic

A Sampling Algorithm for Mining Association Rules in Distributed Database

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shi Yue-mei ; Dept. of Comput., Xinzhou Teachers'' Univ., Xinzhou, China ; Hu Guo-hua

This paper introduces SMA, a sampling algorithm for mining association rules in distributed database. SMA adopts two-way sampling technique in every website and amalgamates those local samples into a sampling dataset. In an empirical study, SMA was able to accelerate the speed and improve the accuracy of mining association rules in distributed database.

Published in:

Database Technology and Applications, 2009 First International Workshop on

Date of Conference:

25-26 April 2009