You can use the unique function to evaluate all the unique members found in a series data object.
可以使用UNIQUE函数处理在序列数据对象中找到的所有独特成员。
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。
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）。
Returns predicted future or historical values for time series data.
返回时序数据的将来或历史的预测值。
Time series data is continuous and can be stored in a nested table or in a case table.
时序数据是连续的，可以存储在嵌套表或事例表中。
In the last, we give an example of dynamical Bayesian networks for time series data analysis.
最后给出了用于时间序列分析的动态贝叶斯网络的实例。
Times series data is one of common data types and also the important research subject of data mining.
时序数据是一种常见的数据类型，也是数据挖掘的重要研究内容。
Based on the project background, an improved outlier data mining algorithm for time series data is given out.
根据课题背景，给出一个针对时序数据的离群数据挖掘算法的改进算法。
As a result, the organization may be forced to conduct its evaluation at the corporate level using time series data.
因此，企业可能会被迫在公司层面上使用时间序列数据。
Mapping the raw time series data to a modality space effectively is a critical problem in time series similarity search.
将时序数据有效地映射到特征空间是时间序列相似性搜索的一个关键问题。
In this paper, the method TSD-PVAP, which is the pixel-oriented visualization analysis of time series data is introduced.
提出了一种基于像素的时序数据可视化分析方法TSD -PVAP。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
At the same time, however, the nonlinear and chaotic characteristic of time-series data makes the mining be a difficult issue.
然而，时间序列数据的非线性混沌特点，使得对它的挖掘成为难题。
The hydrological method is using the hydrological series data to establish the autoregressive and multivariate recurrence models.
水文方法是利用水文序列资料建立自回归模型和多元递推模型。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
Time series data is the data set that arranges every one according to the time, and it USES social, economic and technologic fields widely.
时间序列数据就是按时间先后顺序排列各个观测记录的数据集，广泛存在于社会、经济、技术等领域中。
The outer frequency spectra of wind waves are estimated with the time series data of wave elevation measured in the laboratory wind wave flume.
利用实验室风浪槽内测得的波面序列资料估计风浪外频谱。
The results show that the proposed ODP is an effective and feasible technique to extract the features from the hyperdimensional time series data.
同时，以心电信号为例对ODP方法进行测试，结果表明，该方法应用于超高维数据的特征提取是行之有效的。
This hybrid model synthesizes the merits of multiple intelligent computation methods and offers a new effective solution of time series data mining.
该混合模型融合多种智能计算方法优点于一体，为时序数据挖掘提供了一种新的实用方法。
Combining grey system theory with the feature of series data, a grey interpolation approach based on forward and back grey prediction model is proposed.
根据灰色系统理论和序列数据的特性，提出一种灰插值方法。
Then we use the 1990-2008 time series data of the national and Jiangsu Province to assess the impacts of the relative price of energy to energy intensity.
并分别使用了全国和江苏省1990—2008年时间序列数据，计量分析研究了能源相对价格对于能源强度的影响作用。
The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.
明确提出挖掘延迟关联规则的模型，根据延迟规则的定义提出两种挖掘方法，并针对两种算法进行了相关的对比分析。
Incidence degree could be used to analyse time series data in health system. There is little limit about data distribution and type of variable's correlation.
关联度分析方法可用于卫生系统内部时间序列资料的分析，该方法对数据分布类型、变量之间的相关类型限制较少。
The model for filling time series data of traffic flow based on LS-SVM is proposed in this paper, missing data can be filled by using traffic flow historical data.
利用实例仿真验证表明，LS-SVM具有较好的泛化能力和很强的鲁棒性，采用基于LS-SVM的交通流时间序列模型补齐丢失数据能够取得很好的效果。
This thesis studies on the prediction modeling method of water quality parameters based on normal time-series data in the background of the Three Gorges Reservoir.
本文以三峡库区常态水质参数时序数据为研究对象，进行水质参数预测建模研究。
While applying the method to the time series data of sedimentary rock in Talimu basin, the prediction and classification of layer in petroleum well have got solution.
在塔里木盆地沉积岩时间序列化学数据的应用实例中，解决了石油井下地层预测和归类问题。
Longitudinal data is referred to data in which individuals are measured repeatedly through time, so it combines elements of cross-sectional data and time-series data.
纵向数据是指对每个个体在不同时间进行观测而得到的由截面和时间序列融合在一起的数据。
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