Invention Grant
- Patent Title: Forecasting model generation for sample biased data set
-
Application No.: US16855414Application Date: 2020-04-22
-
Publication No.: US11625688B2Publication Date: 2023-04-11
- Inventor: Kurt Newman , Ramsay Cole
- Applicant: ADP, Inc.
- Applicant Address: US NJ Roseland
- Assignee: ADP, Inc.
- Current Assignee: ADP, Inc.
- Current Assignee Address: US NJ Roseland
- Agency: Foley & Lardner LLP
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06N5/04 ; G06Q40/00 ; G06Q10/04 ; G06Q10/1053 ; G06Q40/12

Abstract:
A method, apparatus, system, and computer program product for creating a forecasting model for payroll records. Payroll records are received for a group of employers. The payroll records comprise granular data parameters about employees of the group of employers. A forecasting model is created that aligns the payroll records to high-level employment data. Creating the forecasting model includes identifying predictor variables from the granular data parameters of the payroll records. Creating the forecasting model includes generating a set of basis functions from the predictor variables. Creating the forecasting model includes combining the set of basis functions to create the forecasting model.
Public/Granted literature
- US20210334759A1 FORECASTING MODEL GENERATION FOR SAMPLE BIASED DATA SET Public/Granted day:2021-10-28
Information query