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Systems and methods for generating a forecasting model and forecasting future values

机译:用于生成预测模型和预测未来价值的系统和方法

摘要

Systems and methods are provided for generating a forecasting model based on a set of measured values. Consistent with certain embodiments, the forecasting model may include a seasonal function and a trend function. Further, consistent with other embodiments, the computer-implemented systems and methods may include computing the forecasting model by minimizing an error function representing the error between the forecasting model and the measured values. In addition, consistent with yet other embodiments, the computer-implemented systems and methods may include a process for outlier detection and removal based on a computation of residuals. Still further, consistent with some embodiments, systems and methods may be provided to filter the seasonality and/or the trend components to eliminate sudden variations in the model predictions resulting from sudden, large variations in the measurement values.
机译:提供了用于基于一组测量值来生成预测模型的系统和方法。与某些实施例一致,预测模型可以包括季节函数和趋势函数。此外,与其他实施例一致,计算机实现的系统和方法可以包括通过最小化表示预测模型和测量值之间的误差的误差函数来计算预测模型。另外,与其他实施例一致,计算机实现的系统和方法可以包括用于基于残差的计算进行离群值检测和去除的过程。更进一步,与一些实施例一致,可以提供用于过滤季节和/或趋势分量以消除由于测量值的突然的,大的变化而导致的模型预测的突然的变化的系统和方法。

著录项

  • 公开/公告号EP2573721A1

    专利类型

  • 公开/公告日2013-03-27

    原文格式PDF

  • 申请/专利权人 AOL ADVERTISING INC.;

    申请/专利号EP20120006631

  • 发明设计人 KARLSSON NIKLAS;

    申请日2012-09-21

  • 分类号G06Q10/04;

  • 国家 EP

  • 入库时间 2022-08-21 16:30:17

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