Abnormal business data screening method for anti-money laundering system

A technology of business data and screening methods, applied in the field of data screening, to achieve the effects of flexible configuration, increased possibilities, and strong portability

Inactive Publication Date: 2017-11-17
CHENGDU RURAL COMML BANK CO LTD
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

We often select an abnormal indicator to screen out abnormal businesses, but in reality, a transaction/customer/account that meets an abnormal indicator does not necessarily mean that the transaction beh...

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
  • Abnormal business data screening method for anti-money laundering system
  • Abnormal business data screening method for anti-money laundering system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] Such as figure 1 As shown, the embodiment of the present invention provides a method for screening abnormal business data of an anti-money laundering system, which specifically includes:

[0030] S1: Receive service data.

[0031] The business data here includes the frequency data of business occurrence, whereabouts data, time data, location data, amount data, payment ratio data and abnormal behavior data of business processing, etc. Abnormal behaviors in business handling include: when multiple people are handling business, the same person is on hand to direct. The same commander is the abnormal behavior data handled by the business. The received business data is the business data obtained by integrating the ba...

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 data screening method and particularly discloses an abnormal business data screening method for an anti-money laundering system. The method comprises steps that business data is received; abnormal indexes triggered by the business data are acquired through screening; abnormal models triggered by the triggered abnormal indexes are calculated; business data contained by each triggered abnormal index contained by each triggered abnormal model is derived, and the abnormal business data is acquired. According to the method, the abnormal index and abnormal model screening method is employed, namely combination of the screening method and business scenes, the multiple abnormal indexes satisfying abnormal model triggering conditions are screened in a triggering mode, abnormal transaction possibility of the screened-out business data is substantially enhanced, and the abnormal business data can be more effectively screened. The method is advantaged in that flexible configuration and strong portability are realized, and the method can be applied to different data analysis type systems.

Description

technical field [0001] The invention relates to a data screening method, in particular to a method for screening abnormal business data of an anti-money laundering system. Background technique [0002] In the financial industry, the focus of anti-money laundering work is to analyze customer transaction behaviors and extract information such as various large-value transactions and suspicious transactions for further tracking, investigation and verification. We often select an abnormal indicator to screen out abnormal businesses, but in reality, a transaction / customer / account that meets an abnormal indicator does not necessarily mean that the transaction behavior must be abnormal. In order to further strengthen the accuracy of anti-money laundering monitoring work, It is urgent to propose a more effective method for screening out abnormal transactions. Contents of the invention [0003] In view of this, the present application provides a method for screening abnormal busine...

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): G06Q10/06G06Q40/04
CPCG06Q10/0635G06Q40/04
Inventor 肖山胡小丽陈诗明张笑寒何旭辜佳新王康张鑫
Owner CHENGDU RURAL COMML BANK CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products