{"title":"自动检测县线犯罪方案","authors":"Tomasz Granosik, Elzbieta Lewanska","doi":"10.7250/csimq.2020-23.02","DOIUrl":null,"url":null,"abstract":"County lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Detection of County Lines Criminal Scheme\",\"authors\":\"Tomasz Granosik, Elzbieta Lewanska\",\"doi\":\"10.7250/csimq.2020-23.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"County lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research.\",\"PeriodicalId\":416219,\"journal\":{\"name\":\"Complex Syst. Informatics Model. Q.\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Complex Syst. Informatics Model. Q.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7250/csimq.2020-23.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex Syst. Informatics Model. Q.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7250/csimq.2020-23.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Detection of County Lines Criminal Scheme
County lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research.