prar

We propose two new traffic analysis method , which are the path restraint association rules algorithmic ( PRAR ) and the time and path restraint association rules algorithmic ( TPRAR ) .

我们提出了两种新的业务流分析方法&具有路径约束的关联规则算法PRAR和具有时态路径约束的关联规则算法TPRAR。

In the analysis subsystem of TMAS , we implement traffic based analysis methods . The methods are the path restraint association rules algorithmic ( PRAR ) and the time and path restraint association rules algorithmic ( TPRAR ) .

在TMAS的分析子系统中，我们实现了业务级的分析方法，即具有路径约束的关联规则算法PRAR和具有时态路径约束的关联规则算法TPRAR。

A progressive autoregressive prediction method is presented , which includes the progressive autoregression ( PAR ), the progressive autoregressive moving average ( PARMA ), the progressive time-varying autoregression ( PTVAR ), the progressive time-varying autoregressive moving average ( PTVARMA ), the progressive regression and autoregression ( PRAR ) model .

提出递进自回归预测方法，其中包括递进自回归模型、递进自回归滑动平均模型、递进时变自回归模型、递进时变自回归滑动平均模型、递进回归&自回归模型。