通过对SC呼叫中心关键环节客户满意的理论研究和实证研究，系统地分析了各“约束点”并提出相应的策略，包括运营组织环节提高接通率的话务预测新方法和技能调整策略；
According to the study of the theory and empirical research, to the key section of SC call center, the author has systematic analysis of the"restraint point"and brings up the corresponding strategy.
因此，话务量预测的研究是非常必要的。
Therefore research of telephone traffic forecasting is necessary.
另外，这种网络拆分对网络话务的准确预测是有效的且确保网络话务负荷是平均分布的。
In addition, such network traffic splitting requires accurate predictions of the network traffic to be effective and ensure that the network traffic load is evenly distributed.
移动通信话务数据具有强非线性，传统的预测技术很难准确预测其变化规律。
It is difficult to correctly forecast mobile telephone traffic data by the traditional method because of the strong nonlinearity of the data.
比较系统地提出了移动通信网话务量需求预测系统的设计思路。
Design idea of prediction system of telephone traffic demand in mobile communication networks has also been systematically put forward.
将该模型应用于移动通信话务量的预测。
从基础数据梳理开始，通过话务量预测和话务员服务能力，形成随话务量变化而动态调整的人员配置。
Start from the combing of the basic data, we obtain dynamic adjustment of staffing through forecasting telephone traffic and operator service.
最后介绍了如何找出话务数据中的野值点和如何预测话务量。
Finally, the problems of how to pick out outliers from the traffic data and how to forecast traffic flow are discussed.
山东移动场景化资源动态调整系统就是为了解决这种问题，针对不同的特定场景进行对话务量等数据的预测。
Scene-based dynamic adjustment of resources system for SHANDONG Mobile makes forecasts of datas such as Traffic in different scenes to solve the problem.
而传统的网络话务量数据分析主要关注的是当前交换机话务分布情况，对历史数据的分析和将来趋势的预测比较少。
However, traditional traffic analysis methods pay attention to current status of network and deal with few of historical or future data.
根据预测结果来动态调整资源，以满足特定场景下话务量与负荷量突然变化等情况的需求。
It adjusts the resources dynamically according to the forecast results to meet demand of some scenes that may have a sudden change of the traffic and load.
随着移动电话在中国的普及，对话务量需求的预测日益受到移动运营商的关注。
With the popularity of mobile telephone in China, mobile operator has been paying more and more attention to the prediction of the telephone traffic demand.
随着移动电话在中国的普及，对话务量需求的预测日益受到移动运营商的关注。
With the popularity of mobile telephone in China, mobile operator has been paying more and more attention to the prediction of the telephone traffic demand.
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