It is typically used for time-series-based data gathering, but is not restricted to this; static data can also be used.
它通常用于收集基于时间的数据，但是不限于此；也可以使用静态数据。
Graphite is a Python web application that has been developed to provide scalable storage and visualization for numeric time-series data.
Graphite是一个PythonWeb应用，用来为数字时序数据提供可伸缩的存储和可视化显示。
You don't even have to produce an analysis on time-series data, as the tool lets you do a scatter plot to compare search trends between different data.
你甚至不必对这些时间序列数据进行分析，因为这个工具允许你做一个散点图来比较不同数据里的搜索趋势。
URI versioning […] is a design choice when resources are immutable across time and we create new resources for state changes (similar to how we manage time-series data in a database).
URI版本控制 […]是一种设计决定，用于当资源不随时间的变迁而变化时，我们为状态的改变创建新资源（类似于管理数据库中的时间序列数据）。
Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
Aim To construct a new time-series forecasting model based on neural network with the capability of noise immunity.
目的建立一种新的具有抗噪声能力的神经网络时间序列预测模型。
The paper introduces the principle and method of resolving time-series tendency part with higher difference method.
介绍了高次差法求解时间序列中趋势项的基本原理与方法。
The characteristics of this method are analyzed, and the difficulties in time-series trend analysis are discussed, too.
分析了该方法的特点，指出时间序列趋势分析的难点所在。
Based on measured data of micro silicon gyro and time-series theory, the AR model of gyro static drift is established, then the continuous-time differential equation is got.
利用微硅陀螺测量的数据，运用过程辨识理论和时间序列分析方法，建立了陀螺静态漂移的自回归（AR）模型，进而得到连续微分方程。
It has important practical significance to analyze and process with the large number of time-series data and mine with the value of the underlying implication of information.
对于这些大量的时序数据进行分析处理，挖掘其背后蕴涵的价值信息，具有重要的实际意义。
During this course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.
课程期间我们将检视数种学习技巧在一些领域上的应用如电脑视觉、电脑绘图、数据库搜索和时间数列分析与预测。
For the problems of continuity, uncertainty and fuzziness in the time-series of the network management alarm database, this pa-per puts forward a new mining method based on time-series rules.
该文针对网管告警数据库中时间序列存在的连续性、不确定性和模糊性问题，提出了一种基于时态关联规则挖掘告警库的新方法。
The model is run as a time series.
模型作为时间序列运行。
Time series estimates showed improved control of high total serum cholesterol over the past two decades in England and the United States.
时间序列估算显示过去的二十年中英格兰和美国的高血清总胆固醇控制得到改善。
The embedded ts() function creates a time series object out of the vector glarp$livingroom.
嵌入的ts()函数通过向量glarp$livingroom创建一个时间序列对象。
So if your big data infrastructure must cope with time series, Informix is more than up to the job.
所以如果您的大数据基础架构必须处理时间序列，Informix已足够完成此工作。
I basically know the answer: temperature is a noisy time series, so if you pick and choose your dates over a short time span you can usually make whatever case you want.
我基本上知道答案，气温是一条嘈杂的时间序列，所以如果你在一下相对较短的时间跨度里挑选数据，你可以得到任何你想要的结果。
R provides still more tools for time series analysis. For example, we can plot the autocorrelation function for the living room temperature.
R还具有更多用于时间序列分析的工具。
How to detect if change in time series data is no longer significant?
如何检测是否在时间序列数据的变化不再明显？
Experiments have shown that this method can efficiently analyze the time series of Chinese Stock Market.
试验表明，用此方法分析中国证券市场的股票时间序列非常有效。
Once you have built up a time series, you will probably want to retrieve historical data.
构建一个时间系列后，您可能想要检索历史数据。
The time series of temperature are expected to be the longest possible so as to examine various modes of oscillation periods.
人们希望温度的时间系列尽可能地长，以便能研究各种波的振荡周期。
RRDtool is an open source, high performance data logging and graphing system for time series data.
RRDtool是一个开放源码的高性能数据日志记录和绘图系统，用于处理时间系列数据。
Each screen was visible for only a fraction of a second, so the children didn't have time to count the dots.Each series of tests consisted of dozens of screens.
每一次屏幕展示都转瞬即逝，所以孩子们没有足够的时间去计算点状标记的数量，每个系列的测试都由许多的屏幕展示组成。
Each screen was visible for only a fraction of a second, so the children didn't have time to count the dots. Each series of tests consisted of dozens of screens.
每一次屏幕展示都转瞬即逝，所以孩子们没有足够的时间去计算点状标记的数量，每个系列的测试都由许多的屏幕展示组成。
This series has spent a lot of time looking at data formats, mostly because your asynchronous applications are ultimately almost all about data.
本系列已经用大量时间讨论了数据格式，这主要是因为几乎所有异步应用程序最终都要处理数据。
Their weekly series, farfrom getting stale, has only grown more interesting over time.
他们的每周系列，一点也不会变得陈旧，而且还随时间变得越来越有趣。
Their weekly series, farfrom getting stale, has only grown more interesting over time.
他们的每周系列，一点也不会变得陈旧，而且还随时间变得越来越有趣。
应用推荐