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Linguistic Valued Association Rules
引用本文:LUJian-jiang,QIANZuo-ping. Linguistic Valued Association Rules[J]. 系统科学与系统工程学报(英文版), 2002, 11(4): 409-413
作者姓名:LUJian-jiang  QIANZuo-ping
作者单位:LU Jian-jiang,QIAN Zuo-pingInstitute of Communications Engineering,PLA University of Science & Technology,Nanjing 210016,China
基金项目:The projectis supported by N ational N atural Science Foundation of China(No.699310 4 0 )
摘    要:
1 IntroductionData mining is the process of discovering interesting knowledge from large amounts of datastored either in database,data warehouses,or information repositories. The mining ofassociation rules is one of the most important topics in the field of data mining. Variousmining algorithms about association rules have been discussed in many literatures such as[1]and[2 ].The linguistic valued association rules are discussed in this paper.In Section2 ,the FCM algorithm in [3]is adopted t…

关 键 词:数据挖掘  语言值关联规则  正规模糊数  信息处理  模糊C-均值算法  数据库

Linguistic Valued Association Rules
LU Jian-jiang,QIAN Zuo-ping. Linguistic Valued Association Rules[J]. Journal of Systems Science and Systems Engineering, 2002, 11(4): 409-413
Authors:LU Jian-jiang  QIAN Zuo-ping
Abstract:
Association rules discovering and prediction with data mining method are two topics in the field of information processing. In this paper, the records in database are divided into many linguistic values expressed with normal fuzzy numbers by fuzzy c-means algorithm, and a series of linguistic valued association rules are generated. Then the records in database are mapped onto the linguistic values according to largest subject principle, and the support and confidence definitions of linguistic valued association rules are also provided. The discovering and prediction methods of the linguistic valued association rules are discussed through a weather example last.
Keywords:data mining  fuzzy c-means algorithm  linguistic valued association rules
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