CASIA OpenIR  > 09年以前成果
Discernibility matrix approach to exception analysis
Zhao, M; Wang, J; Alpigini, JJ; Peters, JF; Skowron, A; Zhong, N
Source PublicationROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS
2002
Volume2475Pages:461-466
SubtypeArticle
AbstractException plays an important role in Knowledge Discovery in Databases (KDD). As far as data description is concerned, exception could serve as the complement to rule to form concise representation about data set. More importantly, exception may provide more information than rule for people to understand the data set. This paper defines text as the description of data set and considers some special objects as exceptions to complement text. An approach based on the distribution of core in discernibility matrix of text is presented to identify exceptions, and the exceptions selected by this way do bear some interesting properties.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000189007100061
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9850
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Zhao, M,Wang, J,Alpigini, JJ,et al. Discernibility matrix approach to exception analysis[J]. ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS,2002,2475:461-466.
APA Zhao, M,Wang, J,Alpigini, JJ,Peters, JF,Skowron, A,&Zhong, N.(2002).Discernibility matrix approach to exception analysis.ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS,2475,461-466.
MLA Zhao, M,et al."Discernibility matrix approach to exception analysis".ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS 2475(2002):461-466.
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