What is the translation of " 时间序列数据 " in English?

• time series data
• for time-series data
• time-series data

Examples of using 时间序列数据 in Chinese and their translations into English

时间序列数据是传感器和操作数据的基础。
Time-series data is the foundation for the sensor and operational data..

它们旨在使其易于存储和查询时间序列数据。
They were designed to make it easy to store and query time-series data.

时间序列数据和预测模型的关键成分.
The key components of time series data and forecasting models.

金融数据属于时间序列数据。
And financial data is a time-series data.

许多公司用Elasticsearch_仅仅_只是为了分析时间序列数据。
Many companies use Elasticsearch solely for analytics over time series data.

ARIMA是可以适应时间序列数据的模型，以便更好地了解或预测系列中的未来点。
ARIMA models are fitted to time series data, either to better understand the data or to predict future points in the series..

这项任务涉及高级甚高分辨率辐射计时间序列数据汇集、辅助数据收集、判读、校正和评价，以及产品的生成。
The tasks involved are AVHRR time series data assembly, ancillary data collection, interpretation, validation and evaluation, and product generation.

MetricsGraphics针对时间序列数据进行优化，这是一个区别其它库的方面。
MetricsGraphics is optimized for time-series data, which is a differentiating aspect.

新的磁盘格式确保相关的时间序列数据良好分布，另外write-ahead日志也使得Prometheus2.0n能够从崩溃中恢复。
A new disk format ensures good collocation of related time series data, while a write-ahead log makes Prometheus 2.0 resilient to crashes.

流分析和时间序列数据的应用是组织在完整人工智能实现之前很久就能实现这一价值的很好的例子。
The application of both streaming analytics and time-series data are good examples of how organizations can realize this value long before a full AI implementation.

因此，我们知道日志聚合系统可能不适合时间序列数据，但是它有什么好处呢?
So, we know a log aggregation system is likely not suitable for time-series data, but what is it good for?.

时间序列数据存储在本地磁盘上，以便在紧急情况下轻松访问。
Time-series data is stored on local disks so that it's easy to access in an emergency.

日志聚合是一种很有价值的工具，但它通常不是时间序列数据的好工具。
Log aggregation is a valuable tool, but it isn't normally a good tool for time-series data.

这一方法采集了21年的NDVI时间序列数据，然后将其转为NPP和RUE。
This method takes into account 21 years of NDVI time series data which are then converted into NPP and RUE.

时间序列数据是时间上的连续数据，是一种由数字而不是文字组成的历史文件。
Time series data just refers to a succession of numbers in time, a sort of historical document containing numbers instead of words.

利用国家、跨国和时间序列数据进行研究，已找到两性平等指标与经济增长率之间的积极增效关系证据。
Studies using national, cross-country and time-series data have found evidence of positive synergies between indicators of gender equality and rates of economic growth.

SAPHANA能够高效处理时间序列数据和其他类型的序列数据，发现一段时间内的趋势。
SAP HANA processes time-series data and other kinds of series data efficiently to discover trends over a period.

虽然ARIMA是一个非常强大的预测时间序列数据的模型，但是数据准备和参数调整过程是非常耗时的。
Although ARIMA is a very powerful model for forecasting time series data, the data preparation and parameter tuning processes end up being really time consuming.

你会在时间序列数据集上使用什么交叉验证技术？是用k倍或LOOCV？?
Which cross-validation technique you would use on the time series data set, k-fold or LOOCV?

与之前的方法相比，RNNs可以在时间序列数据中获得更高的准确性，而牛津纳米孔公司的测序仪正是以这一点而闻名。
Compared with previous methods, RNNs allow for more accuracy in time-series data, which Oxford Nanopore's sequencers are known for.”.

这种模式在处理物联网（IOT）、实时分析或通用时间序列数据时特别有效。
This pattern is particularly effective when working with Internet of Things(IoT), Real-Time Analytics, or Time-Series data in general.

大多数公司都是基于时间序列数据来分析第二年的销售量，网站流量，竞争地位和更多的东西。
Most of business houses work on time series data to analyze sales number for the next year, website traffic, competition position and much more.

IBMSPSSForecasting提供了一些方法，让有经验和没有经验的用户都可以迅速利用时间序列数据产生可靠的预测。
IBM SPSS Forecasting offers a number of capabilities that enable both novice and experienced users to quickly develop reliable forecasts using time-series data.

人们已开发出多种时间序列数据操作方法，但最常用的方法是Z-Normalization。
A variety of techniques have been developed for time series data manipulation, but one of the most common is called Z-Normalization.

时间序列数据日益成为现代应用的核心-想想物联网，股票交易，点击流，社交媒体等。
Time series data is increasingly at the heart of modern applications- think IoT, stock trading, clickstreams, social media, and more.

Lt;p>这一切都很好，很漂亮，但是Harclerode指出，“操作数据时间序列数据不干净。
That's all fine and dandy, but Harclerode noted,“Operational data- time-series data- is not clean.

他们的元素平台帮助工业组织轻松快速地使用工业时间序列数据来提高生产效率和产品质量。
Their Element Platform helps industrial organisations easily and rapidly use industrial time-series data to improve production efficiency and product quality.

大多数公司都是基于时间序列数据来分析第二年的销售量，网站流量，竞争地位和更多的东西。
Most businesses work on time series data to analyze sales projections for the next year, website traffic, competitive positioning and much more.

在25周年之际，我们回顾他们的警告，并通过探索可用的时间序列数据来评估人类的反应。
On the twenty-fifth anniversary of that paper, the researchers look back at their warning and evaluate the human response by exploring available time-series data.

它们可以分析时间序列数据，如股票价格，并提供预测。
They can analyze time series data, such as stock prices, and provide forecasts.