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Survey on Association Rules Mining Algorithms

机译:关联规则挖掘算法综述

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In recent years, the association rule mining as an important component of data mining attracts many attentions. Up to now, there are many literatures on the association rules, scholars study the association rules mining deeply from improving the algorithm to proposing a new perspective, and thus, there is a great development in the field. In this paper, we perform a high-level overview of association rules mining methods, extensions and we also put forward some suggestions of the research in the future. With a rich body of literature on this theme, we organize our discussion into the following four themes: improving the algorithms to increase mining efficiency, proposing new algorithm to extend the notion of association rules, the integration of association rules and classification, the research on parameter such as support and confidence.
机译:近年来,关联规则挖掘作为数据挖掘的重要组成部分吸引了众多关注。迄今为止,有关关联规则的文献很多,学者们对从改进算法到提出新观点的关联规则挖掘进行了深入的研究,因此在该领域有很大的发展。在本文中,我们对关联规则的挖掘方法,扩展方法进行了高层次的概述,并对未来的研究提出了一些建议。围绕这一主题的大量文献,我们将讨论分为以下四个主题:改进算法以提高挖掘效率,提出新算法以扩展关联规则的概念,关联规则与分类的集成,参数,例如支持和信心。

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