Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Abnormal transaction detection method and device and storage medium

An abnormal transaction and detection method technology, applied in the field of data processing, can solve problems such as high cost and inability to cross channels

Inactive Publication Date: 2019-04-02
BEIJING ADVANCED DIGITAL TECH
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above problems, the embodiment of the present application provides a method for detecting abnormal transactions, which solves the problems of high cost and inability to cross channels in the prior art

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 transaction detection method and device and storage medium
  • Abnormal transaction detection method and device and storage medium
  • Abnormal transaction detection method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] refer to figure 1 , which shows a flow chart of the steps of an embodiment of an abnormal transaction detection method of the present application, which may specifically include the following steps:

[0026] Step 101, acquiring current data of transactions to be detected.

[0027] For example, when a bank customer conducts a transaction, corresponding transaction data will be generated. When the transaction behavior is abnormal compared with the previous one, the method of this application can be used to effectively discover and monitor the abnormality, and remind the customer to avoid losses.

[0028] Step 102, classify and aggregate the current data according to the preset quantitative index, s...

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

Embodiments of the invention provide an abnormal transaction detection method and device, and a storage medium. The method comprises the steps of obtaining current data of a transaction needing to bedetected; classifying and aggregating the current data according to a preset quantification index so as to determine a classification and aggregation parameter; determining the probability density ofthe classification aggregation parameters by using a kernel density algorithm in combination with a kernel density sample determined in advance according to the time dynamic window; and according to the probability density, in combination with the kernel density sample, determining whether the transaction to be detected is an abnormal transaction. Therefore, the abnormal value detection is carriedout on the stream data with complex change modes, small change range and time sequence characteristics through the kernel density algorithm, the transaction data can be analyzed and processed under the unsupervised condition, and whether the transaction is abnormal or not can be rapidly and accurately determined.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a method, device and storage medium for detecting abnormal transactions. Background technique [0002] With the continuous growth of my country's credit card issuance and transaction volume, fraudulent transactions in credit card transactions have also risen sharply. Strengthening the identification and prevention of credit card fraud has become a focus of bank risk control. In the prior art, for the small amount and abnormality of fraudulent behavior in credit card transaction data, commercial banks basically adopt expert rule system with a small amount of behavior analysis model, abnormal transaction monitoring system based on expert rule system, rule monitoring Most of the coverage is single-channel, and cross-channel monitoring is basically undefended. And when the expert rules are not updated in time, there will be more false alarm information, and bank business pe...

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): G06F16/242G06Q40/02
CPCG06Q40/03
Inventor 王强彭烈王彦丞张幼萍
Owner BEIJING ADVANCED DIGITAL TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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