• The approach of using association rule algorithm to determine the optimization value is presented in this paper.

    论文提出了基于关联规则算法的目标值确定的设计思路。

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  • Major methods to distill network intrusion mode are class algorithm, association rule algorithm and frequent episodes algorithm.

    提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。

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  • The paper through the analysis of association rule mining algorithm, an improved association rule algorithm is applied to mining student achievement.

    本文通过对关联规则挖掘算法的详细分析,应用了一种改进的关联规则算法对学生成绩进行挖掘。

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  • With historical equipment database, weighted association rule algorithm is adopted to conduct data mining. By using weighted association rules, a model base is established.

    采用加权关联规则算法对设备历史数据库进行挖掘,建立加权关联规则模式库。

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  • The experiments show that, comparing with the recommendation algorithms based on association rule or on user transaction, the algorithm precision is improved greatly.

    实验表明,该算法比使用基于关联规则和基于用户事务的推荐算法的精确性有较大幅度的提高。

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  • This paper proposes a Chinese conception sets-generating algorithm based on association rule.

    本文提出了一种基于关联规则的中文概念集生成算法。

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  • Aim To put forward association rule mining algorithm based on relation algebra theory.

    目的提出基于关系代数理论的关联规则挖掘算法。

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  • Finally, the characteristics and connection strategies of generator are presented, and based on subsume index, a breadth-first algorithm for mining non-redundant association rule is proposed.

    最后,讨论了生成子的性质及连接策略,并在包含索引的基础上,给出了一种宽度优先的无冗余关联规则挖掘算法。

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  • The experimental results show that this new algorithm has proven its significant performance in the sparse multidimensional association rule mining.

    实验结果表明,新算法在对具有稀疏特性的多维关联规则的挖掘中体现了良好的性能。

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  • The date-set are managed equally and conformably in the traditional association rule mining algorithm.

    传统的关联规则挖掘算法对更新的数据集按平等一致的方式加以处理。

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  • This paper introduces partition method in data cube with different confidence, expatiates on multidimensional association rule data mining algorithm based on data cube partition.

    介绍了在数据立方体上对于不同可信度的数据进行分块的方法,阐述了基于数据立方体分块的多维关联规则挖掘的算法。

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  • Aiming at a familiar and simple constraint that some items must or must not present in rules, a fast clipped-transaction-based constraint association-rule mining algorithm was put forward.

    针对一类常见而简单的规则中有项或缺项的约束,提出了一种基于事务数据修剪的约束关联规则的快速挖掘算法。

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  • This paper presents an improved multi-level association rule mining algorithm.

    为此,提出一种改进的多层关联规则挖掘算法。

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  • Finally, concluding the contents of former chapters, it raised a updating algorithm of matrix-based association rule.

    最后,综合前面几章的内容,给出了基于矩阵的关联规则更新算法。

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  • Subsequently, the association rule discovery algorithm is employed to discover the sequence association rules.

    最后应用关联规则发现算法进而发现序列关联规则。

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  • Association rule mining algorithm is used for discovering association rules, and much research was carried out by many researchers and scholars.

    关联规则挖掘算法用于发现关联规则,诸多的研究人员和学者对其进行了大量的研究。

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  • This paper presents a new algorithm for distributed mining association rules with item constraints called DAMICFP, which is based on a new type algorithm for association rule mining, FP-growth.

    在分布式环境中挖掘约束性关联规则是当前研究的热点问题之一。

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  • This paper presents a new algorithm for distributed mining association rules with item constraints called DAMICFP, which is based on a new type algorithm for association rule mining, FP-growth.

    在分布式环境中挖掘约束性关联规则是当前研究的热点问题之一。

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