Unlock instant, AI-driven research and patent intelligence for your innovation.

Reimbursement time prediction method based on machine learning

A time prediction and machine learning technology, applied in the field of machine learning, can solve the problems of user feature modeling and lack, and achieve the effect of improving the prediction accuracy.

Active Publication Date: 2020-09-01
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

User approval behaviors have regularity and individual characteristics, and current prediction methods have not fully and accurately modeled user characteristics
3) Lack of a set of business processes that support continuous forecast time correction online

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Reimbursement time prediction method based on machine learning
  • Reimbursement time prediction method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] figure 2 It is a schematic flowchart of a method for predicting reimbursement time based on machine learning provided by an embodiment of the present invention. Such as figure 2 As shown, the reimbursement time prediction method based on machine learning and process rules includes the following steps:

[0036] Step S2.1: Define the business process rule expression and calculation method. The approval process rule is expressed as a static feature of the reimbursement approval time prediction. The approval process can be determined and defined after the reimbursement business is launched. Further, the approval process rule can be decomposed after the definition is confirmed, so as to determine the calculation mode of the approval time. Decompose the deterministic financial approval process rules into atomic branch structures...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a reimbursement time prediction method based on machine learning, and belongs to the technical field of machine learning, and the method comprises the steps: S1, defining a business process rule expression and calculation method; s2, describing and extracting approval behavior characteristics; s3, preprocessing the approval behavior data; s4, predicting approval time basedon a random forest; s5, in combination with a business process rule calculation method, achieving overall process approval time prediction; and S6, carrying out online learning and parameter correction. According to the invention, a machine learning algorithm is used to model approver behaviors of each approval link of financial reimbursement, approval operation behavior characteristics are constructed, and then approval time of the next link and expected time for completing the whole approval process are predicted, so that execution efficiency of each approval link is improved, and reasonability of the approval process link can be examined.

Description

technical field [0001] The present invention relates to the technical field of machine learning (Machine Learning), in particular to a method for predicting reimbursement time based on machine learning. Background technique [0002] In the financial reimbursement approval process, different reimbursement types are involved in setting up different reimbursement processes, such as travel expense reimbursement, equipment expense, and material expense reimbursement. That is, the process rules are preset according to different reimbursement types, which also means that each type of reimbursement involves The approvers are different. The reimbursement person is concerned about when the reimbursement form can be approved, so as to arrange a personal repayment plan. At the same time, by checking the duration of each link in the reimbursement process, it is possible to analyze whether the approval settings of the current process are reasonable, so as to optimize and improve the appr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N20/10G06K9/62G06Q10/04G06Q10/10G06Q40/00
CPCG06N20/10G06Q10/04G06Q10/103G06Q40/125G06F18/24323
Inventor 于建军康孟海
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI