mining problem

decision tree classifier is an important data mining problem. the key issue in constructing the decision tree on data streams is to derive the best criterion of internal nodes.

决策树分类器是一个重要的数据挖掘问题，在数据流上建立决策树的关键问题是如何计算内部节点的最佳分裂标准。

These researches provide a new solution for sports motion mining problem. The development on video technique will bring into play important role in the field of information resource management and share and problem decision-making.

这些研究为视频运动挖掘问题提供了一个新的解决方案，视频运动挖掘技术的不断发展和完善将使其在信息资源的管理和共享以及问题付诸决策等领域发挥越来越大的作用。

professor li explained three main data mining problem types.

李教授讲解了三种主要的数据挖掘问题类型。

the professor explained a new data mining problem type.

教授解释了一种新的数据挖掘问题类型。

data mining technique has its extensive applications. frequent pattern finding is an important component of association rules mining problem.

数据挖掘具有广泛的应用，频繁模式发现是关联规则挖掘问题的重要组成部分。

The main contributions of this paper are as follows: We present three different algorithms, Direct algorithm, Reordered algorithm and Fp-tree based algorithm, for horizontally weighted association rule mining problem.

论文的主要工作如下：针对一类水平加权关联规则挖掘问题，本文提出了3种不同的算法：直接法、重排序法和Fp-树法。

The limitlessness, mobility, and irregularity of time series data stream make the traditional frequent-pattern mining algorithms difficult to extend to the mining problem of time series data stream.

时序数据流的无限性、流动性和不规则性使得传统的频繁模式挖掘算法难以适用。

experimental results demonstrate that algorithm is fairly effective for solving the sequential pattern mining problem on timing constraints.

实验表明新算法对挖掘具有时间特征的序列模式是行之有效的。

a new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.

针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。

so united mining is an effective way to solve the mining problem in thinner of the steep close and thick seam.

联合开采是解决急料近距较薄厚煤层开采困难的有效途径。