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A peep at knowledge science in a categorical prospect
《Frontiers of Computer Science》2016年第5期767-768,共2页Ruqian LU 
This work has been supported by the National Key Research and Development Program of China （2016YFB1000902）, the Na- tional Natural Science Foundation of China （Grant Nos. 61232015 and 61073023）, and a Tsinghua-Tencent project. The author thanks his students Chaoqun Fei, Yu Huang and Shengluan Hou for their help.
Mathematics and structuralism Since a long time ago, scientists have pursued the idea of assigning each object of science with a structure. In the long run of history, this idea got a loud name of ＂structuralism＂ wh...
Mining Hierarchical Decision Rules from Hybrid Data with Categorical and Continuous Valued Attributes
《浙江海洋学院学报（自然科学版）》2010年第5期420-427,共8页MIAO Duo-qian QIAN Jin LI Wen ZHANG Ze-hua 
The research was supported by the National Natural Science Foundation of China under grant No:60775036, 60970061;the Higher Education Nature Science Research Fund Project of Jiangsu Province under grant No: 09KJD520004.
Decision rules mining is an important issue in machine learning and data mining.However,most proposed algorithms mine categorical data at single level,and these rules are not easily understandable and really useful fo...
关键词：Similarity relation Attribute reduction Hierarchical decision rules Hybrid data 
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