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PREDICTIVE SCORING BASED ON KEY PERFORMANCE INDICATORS IN TELECOMMUNICATIONS SYSTEM

机译:基于关键性能指标的电信系统预测评分

摘要

A method includes: receiving protocol event data from a plurality of probes within the telecommunication system; determining a most probable cause of a call event from the protocol event data; applying the most probable cause to a trained machine learning algorithm that includes the most probable cause as its input and a telecommunication system score as its output; and in response to an output score from the trained machine learning algorithm, performing a corrective action for a plurality of network users that are expected to be affected by the most probable cause.
机译:一种方法包括:从电信系统内的多个探测器接收协议事件数据;从协议事件数据中确定呼叫事件的最可能原因;将最可能的原因应用于经过训练的机器学习算法,该算法将最可能的原因作为其输入,并将电信系统得分作为其输出;并响应于来自受过训练的机器学习算法的输出分数,对预期受到最可能原因影响的多个网络用户执行纠正措施。

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