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BUILDING TIME SERIES BASED PREDICTION / FORECAST MODEL FOR A TELECOMMUNICATION NETWORK

机译:基于时间序列的电信网络预测/预测模型

摘要

The present disclosure relates to system(s) and method(s) for building an ARIMA based Time Series prediction/forecast model for Key Performance Indicators (KPIs) and Performance Management (PM) counters in a telecommunication network. The system receives historical data, for a predefined period, associated with a prediction/forecast model. The system further pre-processes the historical data in order to evaluate statistical characteristics of stationarity of the historical data. Based on the evaluation, the system stationarizes the data first by backfilling anomalies and missing data and then applying techniques associated with differencing, moving averages and auto-correlation. The system further builds the Time Series based prediction/forecast model using the data using ACF and PACF correlation functions.
机译:本公开涉及用于构建基于ARIMA的时间序列预测/预测/预测模型的系统和方法,用于电信网络中的关键性能指示符(KPI)和性能管理(PM)计数器。系统接收与预测/预测模型相关联的预定义时段的历史数据。该系统进一步预先处理历史数据,以便评估历史数据的统计特征。基于评估,系统首先通过回填异常和缺少数据,然后应用与差异相关的技术,移动平均值和自动相关的技术来定位数据。系统还使用使用ACF和PACF相关函数的数据建立基于时间序列的预测/预测模型。

著录项

  • 公开/公告号US2021224699A1

    专利类型

  • 公开/公告日2021-07-22

    原文格式PDF

  • 申请/专利权人 HCL TECHNOLOGIES LIMITED;

    申请/专利号US202016748100

  • 发明设计人 RAHUL SOUNDRARAJAN;HIMANSHU PANWAR;

    申请日2020-01-21

  • 分类号G06Q10/04;G06Q30/02;H04L12/24;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 20:03:31

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