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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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