%0 Journal Article
%T Multistep classification based on atomic and associative rules in the large-scale datasets<br>多步原子规则的大规模关联分类
%A XU Xiao-yuan
%A HAN Guo-qiang
%A MIN Hua-qing
%A <br>许孝元
%A 韩国强
%A 闵华清
%J 控制理论与应用
%D 2007
%I 
%X The principles of multi-step classification based on atomic rules are described in this paper.A related scheme based on atomic rules is proposed to tackle the problem of associative classification in the context of large-scale datasets.Compared to the well-known associative classification algorithm of CBA,the proposed approach has the advantage of fast speed and high accuracy.
%K data mining
%K machine learning
%K association rules
%K classification<br>数据挖掘
%K 机器学习
%K 关联规则
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=721E0A91FD6B4B130424ACCAD7EB59F6&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=38B194292C032A66&sid=DCE57F652E4ADAFC&eid=FE6B7E9BDCCDBAA6&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=8