In this article we introduced the concepts of DW, KDD and DM, analysed the association rules algorithm and used it into mining the association rules of kinds of tax offence.
本文介绍了数据仓库、知识发现以及数据挖掘的概念，详细分析了关联规则算法，时纳税人采用的主要违法违章手段之间的关联关系进行了数据挖掘。
The simulations on the KDD CUP99 dataset show that the detection rate of known attacks and unknown attacks and the false positive rate of this algorithm are excellent.
在KDDCUP99数据集中进行了对比仿真实验，实验结果表明算法对已知攻击和未知攻击的检测率以及算法的误警率都是理想的。
Results of the experiment using KDD 99 indicate the effectiveness of the algorithm.
采用KDD 99数据集进行试验，验证了该算法的有效性。
Test with the data KDD CUP 1999 is conducted and experiment show that, the improved algorithm can enhance the efficiency of data classification.
并对改进后的算法在KDD CUP 1999数据集上进行了实验。实验证明，改进后的算法能有效提高分类性能和效率。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
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