Association rule is a simple statement about the cooccurrence probability of some certain events in database.

关联规则是数据库中某些特定事件一起发生的概率的简单陈述。

In this paper, we improve the classic cooccurrence matrix using soft threshold and circular cooccurrence matrix.

利用软阈值和循环共生矩阵技术，对经典共生矩阵算法进行了改进。

Besides, a method using target words cooccurrence degree was presented to identify the correct frame for the sentence.

并提出了一种根据问句目标词共现率来判别句子所属框架的方法。

The traditional cooccurrence matrix is an effective approach in texture image analysis. It is widely used in the research sense of image comprehension and computer vision.

传统的灰度共生矩阵是一种有效的纹理图像分析方法，它在图像理解和计算机视觉研究领域已得到了广泛的应用。