Abnormal transaction identification method and device based on financial time series characteristics and readable storage medium

A financial time series and identification method technology, applied in the field of abnormal transaction identification methods, can solve the problems of inaccurate analysis results, low usability, complex labor-intensive feature engineering work, etc., and achieve the effect of expanding the amount of data

Active Publication Date: 2019-01-08
HARBIN INST OF TECH AT WEIHAI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, the pre-processing analysis of these various types of data will lead to more complex and labor-intensive feature engineering work
On the other hand, in the case of lack of data or incomplete MLM organization data, it is likely that the analysis results obtained by the identification method based on MLM network

Method used

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  • Abnormal transaction identification method and device based on financial time series characteristics and readable storage medium
  • Abnormal transaction identification method and device based on financial time series characteristics and readable storage medium
  • Abnormal transaction identification method and device based on financial time series characteristics and readable storage medium

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Experimental program
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Embodiment Construction

[0050] The present invention provides a method for identifying abnormal transactions based on financial time series features, such as figure 1 as shown,

[0051] S1, perform data preprocessing on the input original financial transaction flow data set, extract the cleaning data and key item data in the original financial transaction flow data set, and obtain the key item data set D;

[0052] S2, construct financial time series, construct financial time series data set D based on key item data set D finput ;

[0053] S3, based on financial time series dataset D finput , carry out data labeling according to the confirmed MLM card number list file; input the labeled financial time series dataset Train into the SoftSeq2Seq-Attention neural network model for model training and financial time series feature extraction;

[0054] S4, detect and identify the account number, identify the financial transaction flow information, and construct a financial transaction flow in...

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Abstract

The invention provides an abnormal transaction identification method and device based on financial time series characteristics, and a readable storage medium. A large amount of financial transaction flow information data to be detect which is suspected to be abnormal or relate to certain identified abnormal account numbers can be utilized, features of financial time series are extracted by neuralnetwork model adaptively, and then based on the operation of linear layer and softmax layer in a neural network, whether the trading account is pyramid selling account or not is classified and recognized. The abnormal transaction identification method provided by the invention can adaptively extracts financial time series features based on the SoftSeq2Seq-Attention neural network model, which to some extent reduces the investment of labor-intensive feature engineering. Through a single type of financial transaction flow data and fewer features, the method can achieve a good effect of abnormalfinancial account detection and recognition.

Description

technical field [0001] The invention relates to the field of financial transactions, in particular to a method for identifying abnormal transactions based on financial time series features, equipment and a readable storage medium. Background technique [0002] Abnormal financial transactions refer to financial transactions with abnormal circumstances or characteristics such as transaction amount, transaction frequency, and transaction location. Abnormal financial transactions include many fields, such as money laundering, credit card fraud, illegal fundraising, pyramid schemes, etc. Illegal pyramid schemes have always been one of the problems that need to be solved urgently in the field of financial security. Its essence is to realize the illegal transfer and accumulation of finance through the development of offline, disrupt the social and economic order, and endanger personal safety and social stability. Analysis of financial transaction data flow is an effective means to...

Claims

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Application Information

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IPC IPC(8): G06Q20/40
CPCG06Q20/4016G06Q20/4018
Inventor 李晓颖王佰玲王巍黄俊恒辛国栋刘扬
Owner HARBIN INST OF TECH AT WEIHAI
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