| 1. | You can discretize both numeric and string columns
数值列和字符串列都可以进行离散化。 |
| 2. | There are several methods that you can use to discretize data
离散化数据时，可以使用多种方法。 |
| 3. | Method to discretize strings
方法来离散化字符串。 |
| 4. | Methods use a random sample of 1000 records to discretize data . use the
方法使用1000个随机记录样本来离散化数据。 |
| 5. | Then , fvm is adopted to discretize the differential equations
在此基础上，采用有限体积法实现对微分方程的离散。 |
| 6. | The udm lets you discretize attributes into such ranges by using various criteria
Udm允许使用各种条件将属性离散到上述范围中。 |
| 7. | This model used x2 statistic values to discretize condition attributes . its core ide
6 .将本文理论部分提出的数据挖掘核心模型应用到电信crm的客户挖掘中。 |
| 8. | The following table describes the methods that you can use to discretize data in analysis services
下表说明了可在analysis services中用于离散化数据的方法。 |
| 9. | In these cases , you can discretize the data in the columns so that you can use the algorithms to produce a mining model
在此类情况下，可以将列中的数据离散化，以便可以使用算法来生成挖掘模型。 |
| 10. | The approach to classification based on the equivalence classes of the main attribute is as follows : ( 1 ) discretize the continuous training data
以某属性的等价类(相近类)组成的子集作为svm的训练集预分类的方法如下。 ( 1 )将连续性训练数据离散化。 |
