%0 Journal Article
%T A New Algorithm of Mining Classification Rules Based on Decision Table<br>一种基于决策表的分类规则挖掘新算法
%A XIE Juan-Ying FENG De-Min
%A <br>谢娟英
%A 冯德民
%J 计算机科学
%D 2003
%I 
%X The mining of classification rules is an important field in Data Mining. Decision table of rough sets theory is an efficient tool for mining classification rules. The elementary concepts corresponding to decision table of Rough Sets Theory are introduced in this paper. A new algorithm for mining classification rules based on Decision Table is presented, along with a discernable function in reduction of attribute values, and a new principle for accuracy of rules. An example of its application to the car's classification problem is included, and the accuracy of rules discovered is analyzed. The potential fields for its application in data mining are also discussed.
%K Decision table
%K Rough sets
%K Data mining
%K Classification rules<br>数据库
%K 分类规则
%K 数据挖掘
%K 算法
%K 决策表
%K 数据集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B02C1F2EF93280B3&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=F3090AE9B60B7ED1&sid=1D0FA33DA02ABACD&eid=E84BBBDDD74F497C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=13