data amount中文是什么意思

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中文翻译
造句

数据总计

data n. 1.资料，材料〔此词系 datum 的复数。但 d ...
amount vi. 1.总计，共计，合计 (to)。 2.相当于，等 ...
amount of data traffic 数据业务量
a amount of 大量的
amount vi. 1.总计，共计，合计 (to)。 2.相当于，等于。 3.成为 (to)。 Their expenses amount to fifty dollars. 他们的消费共计五十元。 His answer amounts to a threat. 他的回答等于恐吓。 What, after all, does it amount to? 结果怎么样？ Amount to little ＝ not amount to much 没有什么了不起，有限得很，无多大道理。 Amount to much 大起来，变伟大。 Amount to something (人)成器，成才。 n. 1.总和，总额。 2.数值，量，金额。 3.结果，效果；要旨。 a lethal amount 致死剂量。 A trace amount 微量。 The gross amount 约计，概数。 The net amount 细数。 The amount 总数。 What is the amount? 一共多少？ A large amount of money 巨额的钱。 This is the amount of what he said. 这是他所说的要点。 An amount of (work) 相当数量的(工作)，适量[度]的。 Any amount (of) 任何数量(的)；大量(的)。 In amount 总之，结局；总计。
amount of 等同于
amount to 共计达；意味着；发展成; 合计,共计; 合计，共计，等于; 累计，总数达; 相当于，等于；总计; 总共达到；实际上是; 总计，总数达; 做成事，成功
to amount to 总计，共达等于，相当于
to the amount of 总数达
compound amount amount factor 复利因数
a certain amount of 一定数量的
a great amount of 大量的
a large amount of 大量(不可数)
a lication amount 使用量
a smaller amount ）; 更楔少; 较楔少的
absolute amount 绝对数,绝对金额
absorptive amount 吸收量
accumulated amount 本利和; 累积额; 累积款额; 累计额
actual amount 实际金额
adhesion amount 附着量
advance amount 暂收金额
aggregate amount 总价/金额; 总金额; 总款额；总额
agreed amount 议定数额
air amount 空气量
allowance amount 备抵金额

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例句与用法

This method reduces the data amount effectively while keeping the major 3d texture appearance
该方法描述了3d纹理主要特征的同时极大地降低了采样数据量。
The trending is going and the data amount of enterprise growing , so the personal computer cannot work well now . and then we must take measures to adopt the parallel technology
这一趋势的持续和企业数据的膨胀，只靠传统的单机已难以胜任，此时采用并行处理技术是解决效率问题的有效途径之一。
However , these advantages are at the expense of high dimension and large data amount , besides , the high relativity of hyperspectral image bands makes much information redundancy
但是,高光谱图像的这些优点是以其较高的数据维数和较大的数据量为代价的,且高光谱图像波段间相关性较高,造成了信息的冗余。
With the development of the embedded computer technology , the costs of external storage descend gradually , on the contrary , the data amount requested by embedded application increase day by day
随着嵌入式计算机技术的发展,外部存储设备成本逐渐下降,与之相对的,嵌入式应用所请求的数据量却日益剧增。
Compare with the transaction processing of traditional operation data warehouse have fundamental differences in development approach , transaction processing method , data amount and data storage that the instance visit
数据仓库不同于传统运作的事务处理，它们在开发方法、事务处理方法、事务所访问的数据量及数据存储方式等方面有着根本性的区别。
However , high dimension and large data amount of hyperspectral images bring trouble to target detection . what ’ s more , traditional segmentation and detection algorithms for single images are inefficient for hyperspectral images
然而高光谱图象大数据量、高数据维给目标检测应用带来了极大的困难,传统的基于单幅图象的分割、检测算法已经不适应于高光谱图象的小目标检测。
Stereo video is a very important developing direction in video technologies in future , compared with single - view video , stereo video usually has two views and it ' s data amount is much greater than single - view ' s , so efficient compression is very important
立体视频是未来视频技术的重要发展方向。与单通道视频相比，立体视频一般有两个视频通道，数据量要远远大于单通道视频，所以对立体视频的高效压缩尤为重要。
However , since the credit data amount to the personal data of the individuals concerned , unlimited access to such information by financial institutions would possibly give rise to misuse and to contravention of the personal data ( privacy ) ordinance ( " the ordinance " )
不过，由于信贷资料属于有关人士的个人资料，无限制地让财务机构查阅该等资料，大有可能导致滥用及违反《个人资料(私隐)条例》 (下称条例)的规定。
A face recognition algorithm based on improved bp neural network is proposed . first , wavelet transform is utilized to reduce both the dimension of face images and the data amount . then face images are normalized by illumination ratio image to overcome the influence of illumination variation
运用小波变换对人脸图像进行降维,在减小数据量的同时保持图像的基本信息;运用基于光照率图像的方法对图像进行光照校正,以改善光照变化对图像质量的影响;运用改进的bp神经网络对不同光照条件下的人脸图像进行识别。
Aspect to association rules mining , constructing two mining modes : static mining and dynamic mining ; implementing two level mining : single - level mining and domain - level mining . about classification engineering , the mainstream classification techniques were compared through thoroughly experiments , and some improvement was made to decision tree toward the concrete problem , which make naids detect some new type attacks and this kind of capability embodies the advantage of anomaly detection over misuse detection ; incremental mining approach was put forward which detect one window data amount , instead of batch of tcp / ip record , which was very suitable to on - line mining and make naids be high real - time performance
在关联规则挖掘上，建立了两种挖掘模式：静态挖掘模式、动态挖掘模式；实施两个层面上的挖掘：单层面挖掘、领域层面挖掘；在分类引擎的构建上，通过实验综合比较了主流分类技术，并针对具体问题对决策树分类方法进行了应用上的改进，从而使得naids系统具备一定的检测新类型攻击的能力，而这个特性正是异常检测的优势所在；所提出的增量式挖掘方法由于每次只监测一个窗口的数据量，而不是批量处理网络日志，所以非常适合在线挖掘，从而使得naids在实时性上有较好的性能表现。