Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.
有效的离散化可以显著地提高系统对样本的聚类能力，增强系统对数据噪音的鲁棒性。
In the data integration stage of KDD, data discretization is one of the most important jobs.
在KDD的数据集成阶段，数据离散化是其中一件非常重要的工作。
Then the author's researches on data discretization and attribute reduction are introduced in detail.
随后论文重点对作者在数据离散和属性约简两个方面做的研究工作进行了阐述。
In order to overcome the problem, a new method of data discretization based on candidate cuts discernibility matrix is presented.
针对这一问题，提出了一种基于候选断点区分矩阵的数据离散化算法。
For decreasing calculation complexity and increasing speed of algorithm learning, it presented some improvement of data discretization and attributes selection measure.
对数据离散化及属性选择度量方法作了改进，以降低计算复杂度，提高算法学习速度。
The algorithm includes data preconditioning, data discretization, attribute reduction, production of detection rules, and finally analysis of intrusion data with these rules.
对收集到的入侵数据进行预处理、数据离散化，属性约简，并依据生成的检测规则来分析入侵数据。
In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
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