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集成广义泛化分配表和概念格的矿山缺省规则挖掘方法
引用本文:杨敏,李瑞霞,汪云甲.集成广义泛化分配表和概念格的矿山缺省规则挖掘方法[J].煤炭学报,2009,34(9):1228-1233.
作者姓名:杨敏  李瑞霞  汪云甲
作者单位:1.中国矿业大学 环境与测绘学院,江苏 徐州,221008; 2.江苏省资源环境信息工程重点实验室,江苏 徐州,221008
基金项目:国家自然科学基金资助项目(50534050);;中国矿业大学校科研基金资助项目(2007A033)
摘    要:针对传统缺省规则知识挖掘算法易出现规则繁复、提取和存储不便等不足,提出了基于泛化分配表(GDT)和约简概念格(CL)优势互补的GDTCL缺省规则挖掘模型.模型采用GDT求取条件属性的属性子集,有效地解决了利用粗集理论进行求解会面临的NP问题.利用扩展概念格来表达GDT泛化层次的蕴含关系及规则强度和支持度的限制关系,通过概念格的约简算法完成缺省规则的挖掘.最后,进行了矿山缺省规则知识发现的实例验证,结果表明,该模型能从不完整矿山信息系统中挖掘出规则长度齐整、易于存储和应用匹配的无重复缺省规则.

关 键 词:泛化分配表  约简概念格  缺省规则  数据挖掘  矿山决策  
收稿时间:2008-09-28

A integration method of decision generalization distribution table concept lattice for mining default rules of mine
YANG Min,LI Rui-xia,WANG Yun-jia.A integration method of decision generalization distribution table concept lattice for mining default rules of mine[J].Journal of China Coal Society,2009,34(9):1228-1233.
Authors:YANG Min    LI Rui-xia    WANG Yun-jia
Affiliation:1.School of Environment & Spatial Informatics;China University of Mining and Technology;Xuzhou 221008;China;2 Jiangsu Key Laboratory of Resources and Environmental Information Engineering;3.Yangquan Institute;Taiyuan University of Technology;Yangquan 045000;China
Abstract:For overcome the shortcomings of traditional mining default rules algorithm,such as complex rules,extraction and storage inconvenience,a novel generalization distribution table concept lattice(GDTCL) default rule discovery model was proposed,which was combined the benefits generalization distribution table(GDT)and concept lattice(CL) theory.The approach introduced the GDT technique to calculate subset of condition attributes,is an efficient method to solve the NP-problem of rough sets theory to discovery ru...
Keywords:generalization distribution table  reduced concept lattice  default rules  data mining  mine decision  
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