Title:
コンピュータ実装方法、コンピュータシステム及びコンピュータ装置
Document Type and Number:
Japanese Patent JP6686056
Kind Code:
B2
Abstract:
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.
Inventors:
Jones, Richard Bradley
Application Number:
JP2018029942A
Publication Date:
April 22, 2020
Filing Date:
February 22, 2018
Export Citation:
Assignee:
Hartford Steam Boiler Inspection and Insurance Company
International Classes:
G06Q10/04; G06F17/15
Domestic Patent References:
JP2012155684A | ||||
JP2008166644A | ||||
JP2008503277A | ||||
JP2007522477A |
Attorney, Agent or Firm:
Hidekazu Miyoshi
Masakazu Ito
Yuko Hara
Masakazu Ito
Yuko Hara