COMBINING EVOLUTIONARY ALGORITHMS AND EXACT APPROACHES FOR MULTI-OBJECTIVE KNOWLEDGE DISCOVERY

Mohammed Khabzaoui; Clarisse Dhaenens; El-Ghazali Talbi

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COMBINING EVOLUTIONARY ALGORITHMS AND EXACT APPROACHES FOR MULTI-OBJECTIVE KNOWLEDGE DISCOVERY

机译：结合进化算法和精确方法进行多目标知识发现

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An important task of knowledge discovery deals with discovering association rules. This very general model has been widely studied and efficient algorithms have been proposed. But most of the time, only frequent rules are seeked. Here we propose to consid

机译：知识发现的一项重要任务是发现关联规则。已经对该广泛模型进行了广泛研究，并提出了有效的算法。但是大多数时候，只寻求频繁的规则。在这里，我们建议考虑

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来源
《RAIRO Operation Research》 |2008年第1期|p.69-83|共15页
作者
Mohammed Khabzaoui; Clarisse Dhaenens; El-Ghazali Talbi;
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作者单位

Polytech'Lille, LIFL - CNRS / INRIA - Batiment M3, University of Lille 1, 59655 Villeneuve d'Ascq Cedex, France;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类运筹学;
关键词
hybridization; multi-objective optimization; knowledge discovery; association rules;

机译：杂交;多目标优化;知识发现;关联规则;

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机译：结合进化算法和精确方法进行多目标知识发现

COMBINING EVOLUTIONARY ALGORITHMS AND EXACT APPROACHES FOR MULTI-OBJECTIVE KNOWLEDGE DISCOVERY

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