numeric attribute
numeric attribute是什么意思、numeric attribute怎么读
numeric attribute 基本解释
网络 数值型连续字段; 数值属性; 数值型属性
重点词汇
numeric attribute 双语例句
- 1、
The evaluation criteria are referred to as measures ( a numeric attribute of a fact), and what is being analyzed is referred to as dimensions ( a description attribute of a fact).
评估标准称作测度(事实的数字属性),而所分析的内容称作维度(事实的描述属性)。 - 2、
However, in many situation you probably don't have a mix of numeric and non-numeric values in a given element or attribute of your documents.
不过,在很多情况下您的文档中的特定元素和属性都不可能同时包含数字和非数字值。 - 3、
By the method of estimating the probability distribution of training examples, a new and simple method of dealing with numeric attribute based on example distribution and entropy is turned out.
论文分析了基于熵的离散化方法的不足,从估计训练样本的概率分布的角度出发,提出基于样本分布与熵相结合的处理数值型属性的方法。 - 4、
According to statistic information, this method contact splitting numeric attribute with the best splitting probability attribute, which can enhance the categorising accuracy.
该方法基于统计概率信息,依据概率属性的最佳分裂对应分裂连续属性,增加了决策树的分类精度。 - 5、
The system, which constructs a numeric map of the Yangtze River and the related lakes and stores a large amount of data on fishery resource, perfectly integrates the maps and attribute data.
该系统构建了长江及其流域湖泊的数字化地图,存储了大量的长江中下游渔业资源数据及其相关信息,实现了矢量图形数据和属性数据的完美结合。 - 6、
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。 - 7、
Because the values of all criteria are numeric for a quantitative multi attribute decision making ( QMADM), it is difficult to construct the judgement matrix of each criterion by 9-scale method, which has limited the application of analytic hierarchy proc
由于定量型多目标决策的各指标值均为数量,因而按9标度法建立各指标下的判断矩阵就很困难,限制了层次分析法在这一领域的运用。 - 8、
The results show that the relational methods of the numeric attribute and the non-numeric attribute is effective on system overload and efficiency.
结果表明,文本属性和数字属性的相关查询方法在系统负载和效率等方面是有效的。 - 9、
By the data mining classification properties to be used in numerical attribute is divided into readers and non-numeric attribute, books, and non-numeric attributenumeric attribute.
通过分类把数据挖掘要采用的属性分为读者数值型属性和非数值型属性,图书数值型属性和非数值型属性。

