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Investigation on AQ11, ID3 and the principle of discernibility matrix
Wang, J; Cui, J; Zhao, K
2001
发表期刊JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
卷号16期号:1页码:1-12
文章类型Article
摘要The principle of discernibility matrix serves as a tool to discuss and analyze two algorithms of traditional inductive machine learning, AQ11 and ID3. The results are: (1) AQ11 and its family can be completely specified by the principle of discernibility matrix; (2) ID3 can be partly, but not naturally, specified by the principle of discernibility matrix; and (3) The principle of discernibility matrix is employed to analyze Cendrowska sample set, and it shows the weaknesses of knowledge representation style of decision tree in theory.
关键词Rough Set Theory Principle Of Discernibility Matrix Inductive Machine Learning
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号WOS:000166801900001
引用统计
被引频次:62[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9821
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
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Wang, J,Cui, J,Zhao, K. Investigation on AQ11, ID3 and the principle of discernibility matrix[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2001,16(1):1-12.
APA Wang, J,Cui, J,&Zhao, K.(2001).Investigation on AQ11, ID3 and the principle of discernibility matrix.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,16(1),1-12.
MLA Wang, J,et al."Investigation on AQ11, ID3 and the principle of discernibility matrix".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 16.1(2001):1-12.
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