As a shortcut alternative to creating a large dataset with The Echo Nest's API.
作为一个快捷的选择，和The Echo Nest建立一个庞大的数据库。
This can have negative consequences if an iterator with a large dataset is involved.
这可能对有大量数据的迭代器有负面效应。
MapReduce is intended for large clusters of systems that can work in parallel on a large dataset.
MapReduce()的目的是为了大型集群的系统能在大数据集上进行并行工作。
From the database view, XQuery is a tool for structural and content-based querying over the large dataset that is the world-wide XML database.
从数据库的角度看，XQuery是大型数据集上的结构化和基于内容的查询工具，这一数据集就是世界范围内的XML数据库。
One-time workarounds like this one may be preferable to developing software that you'll only use once (unless that software operates on a large dataset).
类似这样的一次性的工作区可能更倾向于开发只使用一次的软件(除非软件在一个庞大的数据集上操作)。
That would be a very efficient query in both architectures, with relational performing better much better with small datasets but less so with a large dataset.
这将是在这两种体系结构非常有效的查询，与关联效果更好更小的数据集但得到的大量数据没有那么好。
Grouping numerous blocks of logic in one long method can very quickly cloud the overall intention of the method, however, because few people can effectively handle such a large dataset.
但是，在一个长方法(long method)中分组数量众多的逻辑块可能会让人很快忘记该方法的总体意图，因为很少有人可以有效处理这样一个大的数据集。
The time complexity of the detection approach is nearly linear with the size of dataset and the number of attributes, which results in good scalability and adapts to large dataset.
该异常检测方法关于数据集大小和属性个数具有近似线性时间复杂度，适合于大规模数据集。
In the content of this article, parallelism is the ability to execute multiple requests in parallel or to split a large dataset task into multiple subtasks which are executed in parallel.
在本文的内容中，并行性指的是能够并行执行多个请求或者将大数据量任务划分成多个并行执行的子任务。
With the rapid increase of the data and information, usually sampling technology is an effective method with very large dataset, and then the pattern of the whole dataset is obtained.
针对日益增长的海量数据和信息，通常采取有效的采样技术对大数据集进行采样，然后通过对样本的分析得到数据总体的相关模式。
The experiments show that IBN-M algorithm can learn comparatively accurate network from the extremely large dataset. IBN-M is an interesting improvement for incremental learning Bayesian Network.
实验结果表明IBN-M算法在数据缺失下贝叶斯网络的增量学习中确实能够学出相对精确的网络模型，该算法也是对贝叶斯网络增量学习方面的一个必要的补充。
It has a very large set of items (over 600k) - much larger than any similar dataset, where usually only the number of users is large.
它拥有非常大的条目数(超过600k)-和那些通常用户数大的数据集相比要大得多。
If the airport dataset were more volatile, too large to reasonably store locally, or simply not available as a single download, I'd be far more inclined to request it remotely.
如果机场数据集不稳定，并且太大不便本地存储，或者不能单独下载，那么我会更倾向于远程地请求它。
While you can load the results of a query directly into a DataSet object, a large query result will consume a large amount of memory.
尽管您可以将查询的结果直接加载到DataSet对象中，但大型查询结果将消耗大量内存。
This is beneficial when the dataset is large and the frequency of queries that request the area of a circle is high.
如果数据集较大，或者经常发出请求圆面积的查询，那么创建函数索引将有助于提高性能。
Each analysis will involve a large proportion, if not all, of the dataset, so the time to read the whole dataset is more important than the latency in reading the first record.
每一次分析都会涉及到一大部分数据，甚至整个数据集，因此读取整个数据集的时间比读取第一条记录的延迟更重要。
It is very necessary to extract spectrum feature and compress spectral data, that is, a large spectrum dataset can be represented by the linear combination of some eigenvectors.
所以，对光谱数据进行特征提取、实现数据压缩是非常必要的，即将一个大光谱数据集表示为几个特征矢量的线性组合。
Recent years, every corporation in the communication realm has collected a large number of communication dataset of consumers along with the development of communication technology.
随着近年来通信技术的蓬勃发展，通信领域内的各个企业都积累了大量的客户交往数据集。
Because of the rapid growth of XML data and the much redundancy in XML data, efficient storage as well as query techniques on large xml dataset has become a hot problem of XML research these days.
然而，由于一方面XML数据大幅增长，另一方面XML数据存在着非常大的冗余，如何有效的存储和查询大规模的XML数据成为当前研究的一个热点问题。
Using a large online transaction dataset from Eachnet, this paper empirically examines the effect of seller reputation on market transactions.
本文使用网上拍卖交易数据，就卖者信誉对市场交易的影响进行了实证研究。
So how to effectively retrieve the interested video information from the large-scale dataset has become an urgent issue.
如何对海量的视频信息进行有效地检索和查询，已经成为目前迫切需要解决的问题。
Parallel I/O can decluster the multidimensional dataset and store them. Based on this fact, a new cyclic declustering strategy for the large-scale multidimensional dataset is Theed. The e…
基于此，论文中提出了一种多维数据的循环拆分方法，它是对二维数据集合循环拆分分配方法的扩展，性能比较与分析表明了新算法的有效性。
Parallel I/O can decluster the multidimensional dataset and store them. Based on this fact, a new cyclic declustering strategy for the large-scale multidimensional dataset is Theed. The e…
基于此，论文中提出了一种多维数据的循环拆分方法，它是对二维数据集合循环拆分分配方法的扩展，性能比较与分析表明了新算法的有效性。
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