time-series

基本解釋

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.
你甚至不必對(duì)這些時(shí)間序列數(shù)據(jù)進(jìn)行分析，因?yàn)檫@個(gè)工具允許你做一個(gè)散點(diǎn)圖來比較不同數(shù)據(jù)里的搜索趨勢(shì)。
Examples of complicated graphs include specialized bar-and-whiskers plots, time-series with sophisticated error bars, color encodings and density plots, and many other possibilities.
復(fù)雜圖形的例子包括專業(yè)化的條形圖和須狀圖，帶有完整誤差的時(shí)間序列條形圖，顏色編碼和密度圖，以及許多其他可能的圖。
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 […]是一種設(shè)計(jì)決定，用于當(dāng)資源不隨時(shí)間的變遷而變化時(shí)，我們?yōu)闋顟B(tài)的改變創(chuàng)建新資源（類似于管理數(shù)據(jù)庫(kù)中的時(shí)間序列數(shù)據(jù)）。

By using a discovery platform they were able to use a combination of SQL, text, statistics, and time-series analysis to get a more accurate customer churn prediction model.
FORBES: New Teradata Platform Reduces Demand For Data Scientists
Mr Sloan combines time-series visualisation and Venetian typography with ease.
ECONOMIST: Insights of an internet story
In 2008, economists Justin Wolfers and Betsey Stevenson, both of the University of Pennsylvania, published a paper where they reassessed the Easterlin paradox using new time-series data.
FORBES: Jeff Sachs and the Economics of Happiness

時(shí)間序列
This paper presents a novel time-series pattern and rule mining technique.
提出了新穎的時(shí)間序列模式和規(guī)則挖掘技術(shù)。
測(cè)繪科學(xué)技術(shù)
時(shí)序
The methods of event sequence and the range are analyzed based on time-series analyzing, time-series spatial co-location method is researched according to the distribution of events and other techniques. Spatial time-series can be effectively analyzed setting the event folding window.
研究空間同位時(shí)序分析的方法,首先介紹經(jīng)典的時(shí)序分析技術(shù),在此基礎(chǔ)上分析當(dāng)今事件序列模式挖掘的方法和應(yīng)用范圍,從而根據(jù)事件分布的實(shí)際情況,綜合序列、同位、關(guān)聯(lián)規(guī)則技術(shù)提出時(shí)序空間同位的算法,通過設(shè)置事件重疊窗口,來分析時(shí)序序列,對(duì)其進(jìn)行時(shí)間復(fù)雜度和試驗(yàn)分析,結(jié)果顯示這種方法能夠有效地提取時(shí)空相關(guān)的知識(shí)。
環(huán)境科學(xué)技術(shù)
時(shí)間先后次序