Larger amounts of data can be stored using these multi-row schemas since each attribute is stored in its own row in the database.
因为每个属性存储在数据库内属于自己的行中，因此可以使用这些多行模式来存储大量的数据。
The Attribute for repeating values is normally used in conjunction with the Binds to multi-valued data check box.
重复值属性在正常添加下会与绑定至多值数据复选框一起使用。
For a Data Table control, the Binds to multi-valued option would be selected, and Attribute for repeating values would be set to var.
对于一个DataTable控件，绑定至多个值选项将会被选中，而重复值属性将会设置为var。
A data preprocessing method based on multi continuous attribute discretization.
基于多连续属性离散化的数据预处理方法。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
To mine the association rules with multi dimensional numeric attribute is a difficult problem in data mining area.
提出一种有效开采多维数字属性关联规则的算法。
This technique can obtain effective seismic multi-attribute information by applying 8 kinds of methods to analyze and process seismic, logging and geological data.
本技术是通过8类方法，对地震、测井、地质等多种资料进行分析、处理，从中提取地震有效多属性信息。
In this paper, a new data reduction method-multi-attribute group decision-making is used to solve the dock forecasting.
本文提出了利用一种新型的数据缩减方法—多指标群决策解决股票预测问题的思路。
The object spatial database stores the small-scale 2D object graph, object attribute data and multi-media data, large-scale object 3D data and so on.
目标空间数据库中存储有小比例尺二维目标图、目标属性数据以及多媒体数据、大比例尺目标三维视景数据等多种类型数据。
Three major principles for the selection of indicator data normalization methods in multi-attribute evaluation are presented in this paper.
提出学术期刊综合评价中指标数据标准化方法选择的三大原则，即同一指标内部数据相对差距不变原则；
Used of the data statistics, data mining, model analysis and other methods, mainly deal with the following two questions:1. Multi-attribute associations (select) problem.
研究中主要用到了数据统计法、数据挖掘法、模型分析法等多种方法，主要解决以下两个问题：1、多属性关联（查询）问题。
Used of the data statistics, data mining, model analysis and other methods, mainly deal with the following two questions:1. Multi-attribute associations (select) problem.
研究中主要用到了数据统计法、数据挖掘法、模型分析法等多种方法，主要解决以下两个问题：1、多属性关联（查询）问题。
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