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QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules

机译：QaR-CIp-NsGa-II：一种新的多目标进化算法挖掘定量关联规则

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A. Rosetea; F. Herrerab;
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年度 2015
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1. QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules [J] . D. Martín, A. Rosete, J. Alcalá-Fdez, Information Sciences: An International Journal . 2014,第Null期

机译：QAR-CIP-NSGA-II：挖掘定量关联规则的新多目标进化算法
2. Improving a multi-objective evolutionary algorithm to discover quantitative association rules [J] . Martinez-Ballesteros M., Troncoso A., Martinez-Alvarez F., Knowledge and information systems . 2016,第2期

机译：改进多目标进化算法以发现定量关联规则
3. Rare-PEARs: A new multi objective evolutionary algorithm to mine rare and non-redundant quantitative association rules [J] . Almasi Mehrdad, Abadeh Mohammad Saniee Knowledge-Based Systems . 2015,第NOVa期

机译：稀有梨：一种新的多目标进化算法，用于挖掘稀有和非冗余的定量关联规则
4. Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm [C] . Stephen G. Matthews, Mario A. Gongora, Adrian A. Hopgood International conference on hybrid artificial intelligent systems;HAIS 2011 . 2011

机译：基于多目标进化算法的定量数据演化时间模糊关联规则
5. Application of Multi-Objective Evolutionary Algorithms to Action Rule Mining [D] . Daly, Grant 2018

机译：多目标进化算法在动作规则挖掘中的应用
6. Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences [O] . Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, 2006

机译：关联算法用于挖掘控制酶定义和对蛋白质序列进行分类的规则
7. Improving a multi-objective evolutionary algorithm to discover quantitative association rules [O] . Martínez Ballesteros, María del Mar, Troncoso Lora, Alicia, Martínez Álvarez, Francisco, 2015

机译：改进多目标进化算法以发现定量关联规则

QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules

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