• Returns predicted future or historical values for time series data.

    返回时序数据将来历史的预测值

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  • Time series data is continuous and can be stored in a nested table or in a case table.

    时序数据连续的,可以存储嵌套事例表中。

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  • RRDtool is an open source, high performance data logging and graphing system for time series data.

    RRDtool一个开放源码高性能数据日志记录绘图系统,用于处理时间系列数据。

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  • 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动态贝叶斯网络实例

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  • In the near future at clustering periodic time series data study up have more and more extensive trend.

    近期周期性时间序列资料分群研究越来越广泛的趋势

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  • 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离群数据挖掘算法改进算法。

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  • Mapping the raw time series data to a modality space effectively is a critical problem in time series similarity search.

    时序数据有效地映射特征空间时间序列相似性搜索的一个关键问题

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  • 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时序数据可视化分析方法TSD -PVAP

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  • Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.

    粗糙理论作为一种处理模糊不确定性问题有效工具时间序列数据挖掘有效的。

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  • The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.

    知识发现过程包括时间序列数据预处理属性约简规则抽取三部分。

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  • In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.

    本文对数据时间序列动态决策增量算法提取决策表的规则模型。

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  • Time series data is the data set that arranges every one according to the time, and it USES social, economic and technologic fields widely.

    时间序列数据就是时间先后顺序排列各个观测记录数据广泛存在于社会经济技术等领域中

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  • 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波面序列资料估计风浪频谱

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  • 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ODP方法进行测试,结果表明方法应用于超高维数据特征提取行之有效的。

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  • This hybrid model synthesizes the merits of multiple intelligent computation methods and offers a new effective solution of time series data mining.

    混合模型融合多种智能计算方法优点于一体,时序数据挖掘提供了一种新的实用方法

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  • Another speaker discussed the challenges of managing time series data, meaning that you track incoming data according to the time interval when it was recorded.

    另一位演讲者探讨管理时间系列数据挑战表示依据记录所传入数据的时间间隔跟踪该数据。

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  • 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问题,设计了通过时间序列聚类分析进行学习样本集积累的方法。

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  • 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.

    关联度分析方法用于卫生系统内部时间序列资料的分析,该方法数据分布类型变量之间相关类型限制较少。

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  • 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鲁棒性,采用基于LS-SVM的交通时间序列模型丢失数据能够取得好的效果。

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  • 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.

    塔里木盆地沉积岩时间序列化学数据应用实例解决了石油井下地层预测归类问题。

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  • 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限制,如果量时间序列分析资料量足够纳入。

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  • 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时序数据挖掘方法采用线性回归技术建立数学模型

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  • Firstly, making the time series continuous through inserting data, and secondly removing the secular displacement rate from the time series data through linear fitness.

    首先时间序列不连续数据进行内插处理,通过线性拟合时间序列中去掉长期滑动速率的影响。

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  • 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

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  • The algorithm is applied for similarity mining of the time series data of the electrical loads for a steel plant. The simulation results show the effectiveness of the algorithm.

    将该算法用于钢铁企业电力负荷时序数据计算结果表明算法的有效性

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  • Lastly, the feasibility and validity of the model was validated with the past years surface water resource quantity time series data from Kenswat Station on Xinjiang Manas River.

    最后玛纳斯肯斯瓦特历年径流资料验证时间序列人工神经网络预测模型可行性有效性

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  • Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.

    由于这些变量具有非线性时间序列数据用人工神经网络(ANN)使用反向传播算法作为学习算法。

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  • However, the oil futures prices involve the typical characteristics of time series data, nonlinearity and nonstationarity, which brings insuperable difficulties in the price forecasts.

    然而石油期货价格具有时间序列数据典型特点即非线性非平稳性价格预测带来了极大困难

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  • In order to improve the efficiency of filtering algorithms for time series data stream, this paper proposes a new more efficient streaming time series query filtering algorithm for DTW.

    目的设计基于DTW高效过滤算法提高时间序列数据过滤查询效率

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  • In order to improve the efficiency of filtering algorithms for time series data stream, this paper proposes a new more efficient streaming time series query filtering algorithm for DTW.

    目的设计基于DTW高效过滤算法提高时间序列数据过滤查询效率

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