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。
Because these models can reflect the feature of the financial market well, they have been widely applied in the time series analysis on financial data.
由于该模型被认为是最集中反映了金融市场数据方差变化的特点而被广泛应用于金融数据时间序列分析中。
Time series analysis is an important method of the dynamic data analysis which has extensive researches and usages in many subject fields.
时间序列分析是动态数据分析的重要方法，在多学科领域中得到广泛的研究和运用。
Finally, the results show the methods can effectively come into being regression analysis model of time-series data streams, and fulfill the prediction of future data streams.
最后，试验分析展示了研究结果能够有效地产生时间序列数据流的回归模型和实现数据流未来数据的预测。
To overcome the shortage of historical data, the increment of learning samples are got by clustering analysis the time series data from Ticket sale record.
为了克服历史数据不足的问题，设计了通过时间序列聚类分析进行学习样本集的积累的方法。
This paper is based on multi-temporal NDVI data and presents time series analysis, which is used for extracting seasonal information of vegetation in one year.
本文就以多时相的NDVI数据为基础，通过时间序列分析方法，提取植被的季节性变化特征。
In this paper, the data of body temperature from experiment is studied by using the methods of hypothesis test and time series analysis, then the mathematical basis of identifying the nature is found.
本文由试验得到的体温数据，分别用假设检验和时间序列分析方法，找到辨别寒热性的数学依据。
Finally, two time series and aero-engine spectrometric oil analysis data were used to verify this model.
最后，利用两组实际的航空发动机油样光谱分析数据对模型进行了验证。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Although the period of using ar, MR, ARMA, ARIMA modeling methods of time series analysis for observed seismic data processing is not long, it is believed that these methods are promising.
时间序列分析中的AR,MR,ARMA,ARIMA等建模方法应用于地震观测资料分析中尚为时不长，是很有发展前途的地震信息处理方法。
The third chapter carries on empirical analysis, including time series and cross-section data analysis.
第三章为实证分析，分别进行时间序列分析和截面数据分析。
In the analysis of time series, the surrogate data test is often performed in order to investigate nonlinearity in the data.
替代数据检验法是检验时间序列中是否存在确定性非线性成分的重要统计方法。
Time series analysis based on neural networks theory cross through traditional frame of subjective model draw out prediction on the inner rules of linear time series data.
基于前向型神经网络理论的时间序列分析跳出了传统的建立主观模型的局限，通过时间序列的内在规律作出分析与预测。
We can find that propensity of consumption is highly related to the practices of social security reform, according to the analysis on the time series data from 1981 to 2004.
根据1981-2004我国居民消费倾向的时间序列数据进行的居民消费倾向变动与社会保障实践的关系分析，表明居民消费倾向的变化也与社会保障实践紧密相关；
The statistical model with a time series analysis are discussed. And some examples are given to simulate the effects of these errors on the digitized data accuracy.
应用时间序列分析理论研究了数字化误差的数学模型，并且用实例计算模拟了数字化误差对数字化数据精度的影响。
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。
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。
By using the data modeling methods of time series analysis, we can build the model of bias instability for the drift data of fiber optic gyro.
但通过时间序列分析中的数据建模方法可对光纤陀螺的零漂测试数据建立零偏稳定性数学模型。
EMD method is a new method for analyzing nonlinear and non-stationary data, which has more advantage than wavelet analysis, and it can process short time series precisely.
EMD方法是对非平稳、非线性信号进行分析的一种新的时频分析方法。它比小波分析等方法具有更强的特性并能准确地处理非常短的数据序列。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
A way of time series data mining was put forward based on the exploratory analysis and the mathematics module was founded by way of using linear regression technology.
提出了基于探索性分析的时序数据挖掘方法，采用线性回归技术建立了数学模型。
First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of DAMS.
首先，叙述用回归分析与随机时间序列技术的组合方法来处理大坝的监测数据。
Statistical data analysis, time series analysis, and error estimation will be discussed in the context of each lab.
每次课堂间亦讨论统计资料分析、时序分析与误差估计。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
The Analysis of wave type time series is a new method, which is used to simulate the data of the digital library book flow in a university library in the paper.
提出用起伏型时间序列法对数字图书馆图书流量进行动态分析。
The expert system has a series of functions such as data collection in real-time, diagnosis, analysis and keep of medical history in the archives , as well as repository maintenance.
该专家系统已经可以达到实时数据采集，诊断分析，病历数据存档保存，知识库维护等一系列功能。
Two authors independently extracted data and assessed study limitations. Quantitative re-analysis of time series data was undertaken for studies with sufficient data.
两个作者分别摘录资料、评估研究的限制，如果量性的时间序列分析资料量足够则被纳入。
Two authors independently extracted data and assessed study limitations. Quantitative re-analysis of time series data was undertaken for studies with sufficient data.
两个作者分别摘录资料、评估研究的限制，如果量性的时间序列分析资料量足够则被纳入。
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