%0 Journal Article
%T Dynamic mining decision rules based on partial granulation<br>基于偏序粒的动态决策规则挖掘
%A CHENG Xin
%A LIANG Ji-ye
%A QIAN Yu-hua
%A <br>程欣
%A 梁吉业
%A 钱宇华
%J 计算机应用
%D 2007
%I 
%X Concerning decision table, the concept of partial granulation was introduced, and an algorithm of dynamic mining of decision rules based on partial granulation was proposed. By making use of the advantage of characterizing granularity of partial granulation, different from the single equivalence relation in the classical rough set theory, this algorithm can study one decision table from different angles and different hierarchies. The case study shows that this algorithm is effective.
%K decision table
%K partial granulation
%K decision rule
%K granularity
%K dynamic mining<br>决策表
%K 偏序粒
%K 决策规则
%K 粒度
%K 动态挖掘
%K 偏序
%K 动态
%K 决策规则挖掘
%K granulation
%K partial
%K based
%K decision
%K rules
%K mining
%K 算法利用
%K 研究
%K 层次
%K 等价关系
%K 粗糙集理论
%K 优势
%K 表达
%K 粒度
%K 决策规则提取算法
%K 决策表
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512C29A0B0E3895C163&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=CF0706A3E35031F6&eid=C7A2B92569DF5458&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8