Wind control rule generating method and device

A rule and risk control technology, applied in the field of wind control rule generation methods and devices, can solve the problems of accumulating transaction data for a long time, unable to construct risk control rules for new business scenarios, etc., to achieve the effect of improving generation efficiency

Active Publication Date: 2018-08-28
ADVANCED NEW TECH CO LTD
View PDF8 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For new business scenarios, because it takes a long time to accumulate transaction d

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
  • Wind control rule generating method and device
  • Wind control rule generating method and device
  • Wind control rule generating method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0064] Example 1

[0065] figure 2 This is a schematic flowchart of a method for generating a risk control rule provided in an embodiment of this application. The method can be as follows.

[0066] Step 202: align the data structure of the source domain and the target domain to obtain a sample data set, where the sample data set includes the source domain sample data and the target domain sample data.

[0067] It should be noted that the source domain includes the first historical transaction data accumulated in mature business scenarios, and the target domain includes the second historical transaction data accumulated in new business scenarios. Among them, the data volume of the first historical transaction data The level is greater than the data magnitude of the second historical transaction data.

[0068] Use the first historical transaction data with a large amount of data in the source domain to help the second historical transaction data with a small amount of data in the targ...

Example Embodiment

[0100] Example 2

[0101] Image 6 This is a schematic structural diagram of an electronic device provided in an embodiment of this application. Such as Image 6 As shown, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. Among them, the memory may include memory, such as a high-speed random access memory (Random-Access Memory, RAM), or may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the electronic device may also include hardware required by other services.

[0102] The processor, network interface, and memory can be connected to each other through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnection standard) bus or an EISA (Extended Industry) bus. Standard Architecture, extended industry standard structure) bus, etc. The bus can be div...

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 discloses a wind control rule generating method and device. The method comprises the following steps of performing the data structure alignment on the source domain and the target domainto obtain a sample data set comprising the source domain sample data and the target domain sample data; performing multiple iterations on the sample data set on the basis of a preset convergence threshold value to obtain the weight scores of each sample data in the sample data set; and then determining a characteristic parameter value in a preset wind control rule generation condition according to the weight scores of each sample data in the sample data set; generating a wind control rule according to the preset wind control rule generation condition and the characteristic parameter value inthe preset wind control rule generation condition. Therefore, the wind control rule is rapidly generated for the new service scene corresponding to the source domain by means of the historical data accumulated in the mature service scene corresponding to the source domain, and the generation efficiency of the wind control rule is effectively improved.

Description

technical field [0001] The present application relates to the field of risk control, in particular to a method and device for generating risk control rules. Background technique [0002] In economic fields such as finance and business management, effective risk control is a necessary means to prevent and combat economic crimes. With the development of Internet technology, various online economic activities are developing rapidly, such as online shopping, online transactions and other business scenarios. Therefore, network risk control is becoming more and more important. In practical applications, the way of network risk control is to judge credible transactions and risky transactions by setting some risk control rules. The generation of risk control rules depends on a large amount of historical transaction data. For new business scenarios, because it takes a long time to accumulate transaction data, it is impossible to build risk control rules for new business scenarios in...

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
CPCG06Q10/0635G06Q40/04G06Q40/08G06Q30/01G06Q30/06G06N7/00G06F18/2148G06F18/24323
Inventor 张天翼宋博文
Owner ADVANCED NEW TECH 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