A Logistic Regression Based Employee Operational Risk Prediction Method
A logistic regression and risk prediction technology, applied in the field of employee operational risk prediction based on logistic regression, to achieve the effect of reducing labor costs, reducing losses, and avoiding distraction
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0046] Such as figure 1 As shown, this embodiment proposes a method for predicting employee operational risks based on logistic regression, including the following steps:
[0047] S1, collect operational risk point list data and employee information data;
[0048] The employee information data includes personal information data and work behavior data. The main system sources of data collection include operational risk system, OA system, and various business systems, such as: financial management system, counter system, credit system, etc. The collected data As the basis for subsequent analysis, it helps to improve the prediction accuracy. In this embodiment, the employee information data includes the following collection ranges:
[0049] a. Basic information, including: gender, age, education level, department, position, number of times of leave, length of leave, length of time off, etc.;
[0050] b. Work information, including: work content, work behavior: login in each sy...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com