- 专利标题: DYNAMIC OUTLIER BIAS REDUCTION SYSTEM AND METHOD
-
申请号: US13213780申请日: 2011-08-19
-
公开(公告)号: US20130046727A1公开(公告)日: 2013-02-21
- 发明人: Richard Bradley Jones
- 申请人: Richard Bradley Jones
- 主分类号: G06N5/02
- IPC分类号: G06N5/02
摘要:
A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.
公开/授权文献
- US09069725B2 Dynamic outlier bias reduction system and method 公开/授权日:2015-06-30
信息查询