%0 Journal Article
%T Research on Algorithm for Mining Positive and Negative Association Rules<br>正负关联规则挖掘算法研究
%A ZHU Yu-Quan
%A CHEN Geng
%A YANG He-Biao
%A <br>朱玉全
%A 陈耿
%A 杨鹤标
%J 计算机科学
%D 2006
%I 
%X In this paper,a fast and efficient algorithm MPNAR is presented to discover positive and negative association rules.Meanwhile,a method based on binary format is proposed to calculate the support of candidate ferquent itemsets. The experiments show that algorithm MPNAR is efficient and feasible.
%K Data mining
%K Frequent itemsets
%K Negative association rules<br>数据挖掘
%K 频繁项目集
%K 负关联规则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=94239851C15E0F3B&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=847B14427F4BF76A&eid=6235172E4DDBA109&journal_id=1002-137X&journal_name=计算机科学&referenced_num=5&reference_num=11