%0 Journal Article
%T An Algorithm for Mining Quantitative Association Rules<br>发掘多值属性的关联规则
%A ZHANG Zhao-hui
%A LU Yu-chang
%A ZHANG Bo
%A <br>张朝晖
%A 陆玉昌
%A 张　钹
%J 软件学报
%D 1998
%I 
%X An attribute can be Boolean or quantitative. There are lots of systems and methods for mining Boolean association rules but few for quantitative. Mapping quantitative attributes into Boolean attributes is a convenient and efficient way. In this paper, a new clustering algorithm is presented. Quantitative attribute values are partitioned into intervals according to the distribution of them in database. Then the intervals are mapped into Boolean attributes. In this way, quantitative rules can be mined by using the techniques of mining Boolean association rules.
%K Data mining
%K association rules
%K clustering algorithm<br>数据采掘
%K 关联规则
%K 聚类算法.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=7BDFFE897B02B2B5&yid=8CAA3A429E3EA654&vid=9CF7A0430CBB2DFD&iid=708DD6B15D2464E8&sid=0018E43E61963A72&eid=8C8D39B86A1EED4F&journal_id=1000-9825&journal_name=软件学报&referenced_num=41&reference_num=8