Together with TrendMiner,we will be able to offer a leading streaming and visual time-series analytics platform- A unique combination.”.
例如,您可以利用时间序列分析根据历史销量数据预测未来每月的冬外套销量。
For example, you could use time series analysis to forecast the future sales of winter coats by month based on historical sales data.
时间序列分析表明,经济因素对公众对气候变化的关注程度影响最大。
A time-series analysis indicates that elite cues and structural economic factors have the largest effect on the level of public concern about climate change.
介绍时间序列分析属于统计学的一个分支,涉及有序,经常是时间数据的研究。
Time-series analysis belongs to a branch of Statistics that involves the study of ordered, often temporal data.
Together with TrendMiner,we will be able to offer a leading streaming and visual time-series analytics platform in a few months- a unique combination.”.
数据处理(数据挖掘,时间序列分析和预测,图像处理等)。
Data processing(data mining, time series analysis and forecasting, image processing, etc.).
很多类型的机器学习问题都需要时间序列分析,其中包括分类、聚类、预测和异常检测。
Many types of machine learning problems require time series analysis, including classification, clustering, forecasting, and anomaly detection.
时间序列分析在相关应用时,可以揭示意想不到的趋势,提取有用的统计数据,甚至预测未来的趋势。
When relevantly applied, time-series analysis can reveal unexpected trends, extract helpful statistics, and even forecast trends ahead into the future.
时间序列分析是一个非常古老的领域,包含各种跨学科的问题,每种陈述问题都有其自身的挑战。
Time Series Analysis is a very old field and contains various inter-disciplinary problem statements, each with their own set of challenges.
能够处理历史和当前数据的预测分析模型结合了多个变量,并使用逻辑回归、决策树和时间序列分析。
The predictive analytics model capable of processing historical and present data combines multiple variables and uses logistic regressions,decision trees, and time-series analysis.
The well-known winning themes include international trade, time series analysis, welfare economics, economic growth, financial markets, economic development and macroeconomic theory.
认知系统可以对不同的数据集进行分析,使用相关分析和时间序列分析来预测故障。
Cognitive systems can run analysis on different data sets,using correlation analysis and time-series analysis to predict failures.
可行的方法是使用时间序列分析,对生产者和消费者行为提出一系列或许是限制性的假说。
This could be done using time series analysis, adopting a range of perhaps restrictive hypotheses concerning producers' and consumers' behaviour.
Statsbot团队发表过一篇关于使用时间序列分析来进行异常检测的文章。
The Statsbot teamhas already published the article about using time series analysis for anomaly detection.
在本文中,我们将看到如何在递归神经网络的帮助下执行时间序列分析。
In this article,we will see how we can perform time series analysis with the help of a recurrent neural network.
这个教程将让你了解为什么要使用时间序列以及时间序列分析的重要性。
In this tutorial, you will learn why should you use time series andwhat is the importance of time series analysis.
These industrial analyses frequently use techniques similar to analyses run by scientists for discovering patterns and outliers,such as time series analysis and classification.
中国38个大城市的细颗粒物空气污染和死亡率:时间序列分析.
Particulate air pollution andmortality in 38 of China's largest cities: time series analysis.
中文
Bahasa indonesia
日本語
عربى
Български
বাংলা
Český
Dansk
Deutsch
Ελληνικά
Español
Suomi
Français
עִברִית
हिंदी
Hrvatski
Magyar
Italiano
Қазақ
한국어
മലയാളം
मराठी
Bahasa malay
Nederlands
Norsk
Polski
Português
Română
Русский
Slovenský
Slovenski
Српски
Svenska
தமிழ்
తెలుగు
ไทย
Tagalog
Turkce
Українська
اردو
Tiếng việt