CASIA OpenIR  > 09年以前成果
"Rule plus exception" strategies for knowledge management and discovery
Yao, YY; Wang, FY; Wang, J; Slezak, D; Yao, JT; Peters, JF; Ziarko, W; Hu, X
2005
发表期刊ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS
卷号3642页码:69-78
文章类型Article
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
关键词[WOS]MODEL
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000232190100008
引用统计
被引频次:5[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/173211/9092
专题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.
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