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Association rule analysis using biogeography based optimization

机译:使用基于生物地理的优化进行关联规则分析

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In recent years, data mining has become a global research area for acquiring interesting relationships hidden in large data sets. Data Mining has been used in various application domains such as market basket data, bioinformatics, medical diagnosis, web mining and scientific data analysis. In this paper, we have tried to optimize the rules generated by Association Rule Mining using Biogeography Based Optimization(BBO). BBO has a way of sharing information between solutions depending on the migration mechanisms. The motivation of this paper is to use the feature of BBO for finding more accurate results.
机译:近年来,数据挖掘已成为获取隐藏在大数据集中的有趣关系的全球研究领域。数据挖掘已被用于各种应用领域,例如市场数据,生物信息学,医学诊断,网络挖掘和科学数据分析。在本文中,我们尝试使用基于生物地理的优化(BBO)来优化关联规则挖掘生成的规则。 BBO可以根据迁移机制在解决方案之间共享信息。本文的目的是利用BBO的功能来找到更准确的结果。

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