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"Rule plus exception" strategies for knowledge management and discovery

文献类型：期刊论文

作者Yao, YY; Wang, FY; Wang, J; Slezak, D; Yao, JT; Peters, JF; Ziarko, W; Hu, X
刊名ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS
出版日期2005
卷号3642页码:69-78
英文摘要A common practice of human learning and knowledge management is to use general rules, exception rules, and exceptions to rules. One of the crucial issues is to find a right mixture of them. For discovering this type of knowledge, we consider "rule + exception", or rule-plus-exception, strategies. Results from psychology, expert systems, genetic algorithms, and machine learning and data mining are summarized and compared, and their implications to knowledge management and discovery are examined. The study motivates and establishes a basis for the design and implementation of new algorithms for the discovery of "rule + exception" type knowledge.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]MODEL
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000232190100008
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9092]  
专题自动化研究所_09年以前成果
作者单位1.Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
2.Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA
3.Chinese Acad Sci, Inst Automat, Beijing 10080, Peoples R China
推荐引用方式
GB/T 7714		 Yao, YY,Wang, FY,Wang, J,et al. "Rule plus exception" strategies for knowledge management and discovery[J]. ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS,2005,3642:69-78.
APA Yao, YY.,Wang, FY.,Wang, J.,Slezak, D.,Yao, JT.,...&Hu, X.(2005)."Rule plus exception" strategies for knowledge management and discovery.ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS,3642,69-78.
MLA Yao, YY,et al.""Rule plus exception" strategies for knowledge management and discovery".ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS 3642(2005):69-78.

入库方式： OAI收割

来源：自动化研究所

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