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Extraction of Dominant Attributes and Guidance Rules for Scholastic Achievement Using Rough Set Theory in Data Mining

机译：数据挖掘中基于粗糙集理论的学术成就主导属性和制导规则的提取

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P.G. JansiRani; R. Bhaskaran;
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年度 2010
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1. Rough set theory: a novel approach for extraction of robust decision rules based on incremental attributes [J] . Chun-Che Huang, Tzu-Liang (Bill) Tseng, Fuhua Jiang, Annals of Operations Research . 2014,第may期

机译：粗糙集理论：一种基于增量属性的鲁棒决策规则提取新方法
2. Routing Attribute Data Mining Based on Rough Set Theory [J] . Yanbing Liu, Shixin Sun, Menghao Wang International Journal of Data Warehousing and Mining . 2006,第3期

机译：基于粗糙集理论的路由属性数据挖掘
3. Rule Based Mining of Nifty Fifty Stock Market Data Prediction Based on Rough Set Theory [J] . T. Chitrakalarani, S. Indrakala Research Journal of Mathematical and Statistical Sciences . 2015,第9期

机译：基于粗糙集理论的五十种股票市场数据预测的规则挖掘
4. Data mining the PIMA dataset using rough set theory with a special emphasis on rule reduction [C] . Khan A., Revett K. IEE Colloquium on Smart Design for Lean Manufacture, 1995 . 1995

机译：使用粗糙集理论对PIMA数据集进行数据挖掘，并特别强调规则约简
5. Discovering generalized symbolic rules from un-annotated data: A hybrid of rough sets and attribute oriented induction. [D] . Jiang, Qingshuang. 2005

机译：从未注释的数据中发现通用的符号规则：粗糙集和面向属性的归纳的混合体。
6. Data mining of the GAW14 simulated data using rough set theory and tree-based methods [O] . Liang-Ying Wei, Cheng-Lung Huang, Chien-Hsiun Chen 2005

机译：使用粗糙集理论和基于树的方法对GAW14模拟数据进行数据挖掘
7. A Rough Set Approach for Generation and Validation of Rules for Missing Attribute Values of a Data Set [O] . Renu Vashist, M. L. Garg 2012

机译：数据集属性值缺失规则的生成和验证的粗糙集方法
8. Overview of Rough Set Theory and Data Mining [R] . Pawlak, Z. 1997

机译：粗糙集理论与数据挖掘综述

Extraction of Dominant Attributes and Guidance Rules for Scholastic Achievement Using Rough Set Theory in Data Mining

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