粗糙集理论是一种新的数据挖掘算法，文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法，且加入了一定的分类正确度。
In this paper, we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
针对数据流的无限输入和动态变化等特点，提出一种新的基于距离的数据流离群点挖掘算法。
Concerning the infinite input and dynamic change in data stream environment, a new algorithm for detecting data stream outliers based on distance was proposed.
通过对数据挖掘中的序列模式发现的研究，提出一种新的序列模式发现算法。
By discovery pattern sequences of functions and recognize them, the differences and flaws of the UnifiedKernel system could be found.
通过对数据挖掘中的序列模式发现的研究，提出一种新的序列模式发现算法。
By discovery pattern sequences of functions and recognize them, the differences and flaws of the UnifiedKernel system could be found.
应用推荐