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Research On Anti Gangs Fraud Community Of Credit Card Based On Knowledge Graph

Posted on:2020-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:P Y ChenFull Text:PDF
GTID:2518306104996039Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In modern society,more and more people will choose to pay by credit card.The speciality of the credit card and its increasing use also make many criminals have bad thoughts about it.In modern credit card fraud,there are three main types of it,namely lost card fraud,counterfeit applications,and counterfeit credit cards.Among them,gang fake application fraud has been an urgent problem because of its large number and difficult judgment.Therefore,in view of this problem,the credit card anti-gang fraud community has been studied in combination with knowledge graph.It can mainly tap potential communities,investigate risks,and facilitate The initial screening of banking business reduces the burden on banking staff and improves efficiency.Based on the knowledge graph of the credit card anti-gang fraud community research,first of all,a certain analysis of the needs,from the existing manual screening and other methods to automatic credit card gang community identification.Then,the overall design of the research method is designed,and each step based on data mining is used for research and display,which not only makes the research method easy to implement successfully,but also makes the overall method have better secondary development capabilities.The research steps include obtaining data from the csv file in the early stage,cleaning the data and modeling the data using the advantages of data processing in Python in the medium stage,including the use of the Networkx tool library and the Louvain algorithm for the construction of knowledge maps and fraud groups,Use the specified fraud algorithm to calculate the overall score,and finally use Echarts to display the data results,so as to provide business personnel with reference verification,and to achieve a comprehensive knowledge graph-based credit card anti-gang fraud community method research.The knowledge graph-based research on the credit card anti-gang fraud community has been formally carried out in the bank for follow-up verification.It has accelerated the review of credit cards,saved a lot of labor costs,and at the same time controlled all the information on credit cards for bank managers.Various references were provided when making various decisions.
Keywords/Search Tags:Credit card anti-fraud, Knowledge graph, Data mining
PDF Full Text Request
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