云变换是一种基于云模型的连续数据离散化方法。
Cloud transform is a method to discretize continuous data based on cloud model.
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。
In the data integration stage of KDD, data discretization is one of the most important jobs.
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。
In order to overcome the problem, a new method of data discretization based on candidate cuts discernibility matrix is presented.
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。
For decreasing calculation complexity and increasing speed of algorithm learning, it presented some improvement of data discretization and attributes selection measure.
摘要 ： 在利用关联规则进行故障信息挖掘时，需要将连续型数据离散化和区间化。
Abstract : When mining fault information using association rule, consecutive data need to be discretized and regionalized.
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。
The algorithm includes data preconditioning, data discretization, attribute reduction, production of detection rules, and finally analysis of intrusion data with these rules.
从更宽泛的角度讲，用户走到哪里，离散数据和服务就会跟到哪里，有人称之为互联网的去门户化(de -portalization)。
Broader trends on the Web point to users having discrete data and services follow them as they move around the Web.
在这种分布中，此方法将对数据进行分解，以便在多个区域中建立相同的离散化。
In such a distribution, this method breaks the data up in an effort to establish equal discretization into multiple areas.
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。
Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.
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.
本文方法与现有的离散化有限元法相比，具有输入数据简单，运算速度快，大量节省计算机内存的优点。
In comparison with the current discretization finite element method, the present method has the merits of easy data input, quick operation and storage saving in computer analysis.
基于多连续属性离散化的数据预处理方法。
A data preprocessing method based on multi continuous attribute discretization.
连续属性的离散化在数据挖掘中有着非常重要的作用。
The discretization of continuous properties is very important in data mining.
该方法改进了基本的整体离散化算法，并利用农业专家系统中的土壤分类数据对算法进行了验证。
Finally, the algorithm can improve the basic global discretization method, and is tested on the soil sorts data of agricultural expert system.
应用连续曲线离散化思想，介绍了一种从已知工件轮廓曲线出发，按加工成形原理计算出YX-173A专用凸轮铣床仿形靠模轮廓数据的实用方法。
This paper introduces a practiced method of calculating the tracer contour data of YX-173A cam milling machine from the discrete curve of brake cam contour, based on the copying principle.
本文采用首次提出的快速样条函数插值方法对二维离散数据进行曲面插值，进而作网格化计算。
In this paper, the author USES fast spline function curved surface interpolation method which is derived by the author to accomplish two dimensional discrete data gridding calculation.
肿瘤诊断数据库中的属性常为数量型属性，因此如何将数量型属性离散化是挖掘关联规则的难点。
Attributes in the database of tumor diagnoses are usually quantitative attributes, so quantitative attribute discretization is a problem of mining association rules.
与把空间数据“粗化”和“离散化”到行政单元上的传统作法相比，该研究方法空间信息的损失很小。
In contrast with the traditional method to coarsen and disperse the spatial data to administration unit, the spatial overlaying analysis can greatly diminish the loss of spatial information.
介绍了在数据库知识发现(KDD)中将连续属性离散化的一些方法，并提出使用值差分度量离散化的算法。
Some methods for dividing continuous attributes in KDD (knowledge discovery in database) and a method based on VDM (value difference metric) are presented.
首先提出主泛化决策等概念，在数据过滤方法的基础上，利用等价类的合并对属性离散化。
Its basic idea is to merge the equivalence classes of q on basis of the methods of data filtering.
很多数据挖掘方法只能处理离散值的属性，因此，连续属性必须进行离散化。
Most data mining and induction learning methods can only deal with discrete attributes; therefore, discretization of continuous attributes is necessary.
连续属性的离散化是数据预处理的重要工作。
Discretization of numeric attribute is an important role of data preprocessing.
网格细分是一种离散造型方法，可以从数字化仪等设备直接获得数据。
Subdivision is one of the discrete modeling methods that can achieve data from the devices such as digitizer.
各单一选线判据从原始故障数据中提取出各自需要的故障特征量并离散化。
The fault characteristic quantity with each selection method is extracted from the original data and discretized.
研究了从采集的离散点场强生成整个平面区域的场强的插值方法，及生成的场强数据可视化的颜色映射方法。
The method of planar region field density generation from collected scattered data and the color mapping methods of field density visualization were developed.
本文对基于粗集的数据预处理中数据补齐和连续属性离散化问题进行讨论。
This thesis discusses the question of data reinforce and continuous feature discretization which is based upon data preprocessing of rough set.
主要讨论了如何利用改进的离散数据网格化方法快速实现离散地形数据预处理。
This thesis mainly discussed how to make use of the improved arithmetic of discrete data gridding to quickly realize discrete data pretreatment.
本文详细介绍电磁辐射数字化测量系统，给出了电路原理图，离散化数据高速采样方法及FFT计算方法。
This article presents a digital type electromagnetic radiation measurement system along with its schematic circuit diagram, high speed discrete data sampling method and FFT calculation methods.
当其与分布式技术结合起来之后，更需要考虑空间离散化、时间并行化和数据共享等方面的问题。
When distribution technology is used in it, aspects as dispersedness in space, parallelizability in time and data sharing are considered.
前者从数据的离散化，降维，和属性选择方面有效的解决了处理大规模高维数据库时的效率与精度之间的矛盾。
The former algorithm makes improvements from three aspects: discretization, reducing dimension, attribute selection, which effectively solves the conflict between efficiency and prediction precision.
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