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《Journal of Computer Applications》 2008-07
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Research of knowledge discovery based on information entropy Petri net model

LI Jun1,DIAO Yong-feng1,YIN Xing2,YE Zheng-wang1,ZOU Hai-yang1(1.School of Computer Science,China West Normal University,Nanchong Sichuan 637002,China;2.School of Computer Science and Technology,Panzhihua University,Panzhihua Sichuan 637000,China)  
In order to describe certainty factor of rule and proposition,certainty information entropy of rule and proposition was defined.From the perspective of entropy,this article researched uncertainty reasoning in the production rules,established a new Information Entropy Petri Net model(IEPN) based on Petri nets and certainty information entropy,introduced uncertainty knowledge representation and reasoning steps,moreover,analyzed the significance that IEPN reasoning guided the Knowledge Discovery in Database(KDD),provided IEPN reasoning process and the method of Knowledge Discovery in Knowledgebase(KDK).
【Fund】: 四川省科技厅重点科研项目(05JY029-093)
【CateGory Index】: TP18;TP301
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