%0 Journal Article
%T Novel Frequent Itemset Mining Algorithm<br>一种新的频繁项集挖掘算法*
%A LIU De-xi
%A HE Yan-xiang
%A XING Xian-li
%A <br>刘德喜
%A 何炎祥
%A 邢显黎
%J 计算机应用研究
%D 2007
%I 
%X The traditional set operator has been extended, and then the FIS-ES algorithm is proposed on the basis of extended set operators. Experiments show that the new algorithm has advantages such as more efficient and less space used in the lower minimum support condition. It is a good complementarity for Apriori algorithm.
%K Extended Set Operator
%K Association Rule
%K FIS-ES Algorithm<br>扩展集合操作
%K 关联规则
%K FISES算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=343459AF1736CA6932A81BD82176B86B&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=0B39A22176CE99FB&sid=BCA2697F357F2001&eid=2A8D03AD8076A2E3&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=8