The frequent patterns of texture could be mined by the algorithm of association rules mining. The association rules could be combined to represent the texture.

采用关联规则挖掘算法对图像纹理的频繁模式进行挖掘，通过联合关联规则来表达纹理。

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The experiments show that the improved learning algorithm of association rules in network security audits have better performance of automatic adaptive capacity, achieving the expected effect.

实验结果表明，改进的关联规则学习算法在网络安全审计的自适应能力上有较好表现，取得了预期效果。

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Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.

通过采用二进制串表示所定义的信息粒，提出了基于粒计算的关联规则挖掘算法。

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