%0 Journal Article
%T Classification Based on Average Length of JEPs<br>基于JEP平均长度的分类方法
%A YU Da-Dong
%A LIU Dong-Bo
%A LUO Rui
%A WANG Jian-Xin
%A <br>于大东
%A 刘东波
%A 罗睿
%A 王建新
%J 计算机科学
%D 2007
%I 
%X JEP is a kind of itemset which support in one dataset is zero but in another dataset not zero. After studying the problems of JEPs in the classification procedure, we presents the concept of independent supports of itemsets. Compared with traditional supports, independent supports provide more detailed distribution information of the dataset and more powerful classifiers can be built on them. Then we propose the concept of average length based on independent supports of JEPs. Finally, we present a classification algorithm using the average length of JEPs as the classification feature. This algorithm can give a more precise classification to data on the border of the datasets.
%K Itemset
%K Association rules
%K Jumping emerging patterns
%K Classification<br>项集
%K 关联规则
%K 跳跃式显露模式
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7C1844C4762081900D0E13CBA91CA178&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=38B194292C032A66&sid=31611641D4BB139F&eid=ED01F5AE50BE09C0&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10