1) sequence of tense
时式序列
2) time series models
时间序列模式
1.
Time series forecast analysis has a vast application in Hospital Information System, and ARIMA model is a usefulmethod in mining time series models .
时间序列预测分析在医院信息系统中具有广泛的应用前景,而ARIMA模型是挖掘时间序列模式的一个有效的方法。
3) logic,clocked sequential
时钟式序列逻辑
4) multinomial time series
多项式时间序列
5) temporal sequence
时序序列
1.
Previous work on pattern discovery in sequence data mainly considers finding global patterns,where every record in the temporal sequence contributes to support the patterns.
已有的时序序列中的模式发现方法主要关注于发现全局的模式,该模式的频繁度量通过扫描序列的所有记录产生。
2.
This paper brings forward such a problem: there are multiple partners,one of them owns part of records,and no one has all of the records,then they want to divide their temporal sequence without leaking their private information.
针对多方分别拥有一部分数据记录,并想在不泄露自己隐私数据的情况下联合对各自的时序序列进行分割的问题,提出基于半可信第三方的隐私保护的时序规则分布挖掘方法。
6) time series
时间序列
1.
Hybrid time series predictive control model for silicon content in blast furnace hot metal;
高炉硅含量预测控制的时间序列混合建模
2.
A new approach to trend extrapolation of time series of ecological footprint and its application;
生态足迹时间序列趋势外推分析的一种新方法及其应用
3.
Fractal characteristics and R/S analysis of time series of natural hazards;
自然灾害发生时间序列的分形特征及R/S分析
补充资料：时式
1.新式。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条