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Investigation on AQ11, ID3 and the principle of discernibility matrix
Wang, J; Cui, J; Zhao, K
Source PublicationJOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
2001
Volume16Issue:1Pages:1-12
SubtypeArticle
AbstractThe 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.
KeywordRough Set Theory Principle Of Discernibility Matrix Inductive Machine Learning
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS IDWOS:000166801900001
Citation statistics
Cited Times:62[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9821
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
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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