He points out that climate data obtained from slow-growing corals around the Pacific indicate a series of unusually frequent El Ninos around the time of the Lapita expansion.
他指出，从环太平洋缓慢生长的珊瑚中获得的气候数据表明，在拉皮塔扩张时期，厄尔尼诺现象曾频繁爆发，这很不寻常。
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.
另一位演讲者探讨了管理时间系列数据的挑战，表示您依据记录所传入数据的时间间隔来跟踪该数据。
AMEE allows you to store time information along with your data, so that you can build up a series of data points over time.
AMEE允许在存储数据的同时存储时间信息，以便根据时间构建一系列数据点。
However, as most Linux kernel testing efforts have only been conducted over short periods of time, this series of tests provides us first-hand data and results of longer runs.
然而，由于大部分的Linux内核测试工作历时都比较短，因此本系列测试为我们提供了长时间运转的第一手数据和结果。
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。
Right now, I want to take just a little time to explore some of the issues that have been increasingly prominent in my inbox, and that of course have relevance to this data binding series.
现在，我想花点时间探讨邮件中经常出现的一些问题，当然，这些问题也是有关数据绑定的。
The ship then sends the data via high-speed fiber-optic lines to a series of command centers, where oceanographers can analyze results in real time.
在控制中心，海洋学家们可以实时分析数据结果。
A time series data set is a sequence of random variables indexed by time.
时间序列数据是以时间为指标的一个随机变量序列。
Research on time series data mining is one of important hot spots of data mining.
目前时间序列的数据挖掘是数据挖掘的重要研究热点之一。
In the field of customer, there exist a large number of time series data.
在客户领域，存在着大量的时间序列数据。
Economic History Services, directly downloadable or an author contact - collection includes Europe and ranges from time series data to various micro datasets such as us surveys of workers.
经济历史服务可直接下载或与作者联络，收录含欧洲在内的资料，范围涵盖时序资料与美国劳动者调查等各类原始个别资料。
The data collected by the loop detector, have the characteristics of time series, and have much to do with the detector's location.
通过环形线圈检测器采集的数据，不仅具有时间序列的特性，而且与其所处的空间位置有很大的关系。
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。
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。
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。
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。
Taking noise recognition and noise reduction of traffic volume time series which are commonly used traffic data as example, several experimental results are illustrated.
以常用的交通数据———交通量时间序列的实测数据为例，给出多个噪声识别及消噪预处理的实验结果。
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。
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。
Among these research fields, time series data mining is a rather complex branch, which is a technique that extracts the most valuable information from large amount of history time series data.
而在这其中时间序列数据挖掘是面向特殊应用数据挖掘领域中比较复杂的一个分支，主要研究从大量时间序列历史数据中挖掘有价值信息的方法和相关技术。
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。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
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。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
As one of the important forms of complex data, time series is a hotspot in data mining area.
作为一类重要的复杂类型数据，时间序列已成为数据挖掘领域的热点研究对象之一。
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。
High dimensionality is the main difficulty of similarity search over time-series data.
数据的高维度是造成时序数据相似性搜索困难的主要原因。
High dimensionality is the main difficulty of similarity search over time-series data.
数据的高维度是造成时序数据相似性搜索困难的主要原因。
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