{"id":"https://openalex.org/W2955991312","doi":"https://doi.org/10.1145/3331184.3331372","title":"Uncovering Insurance Fraud Conspiracy with Network Learning","display_name":"Uncovering Insurance Fraud Conspiracy with Network Learning","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2955991312","doi":"https://doi.org/10.1145/3331184.3331372","mag":"2955991312"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.12789","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100745497","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0003-3706-6479"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Liang","raw_affiliation_strings":["Ant Financial, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636815","display_name":"Ziqi Liu","orcid":"https://orcid.org/0000-0002-0115-105X"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Liu","raw_affiliation_strings":["Ant Financial, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068707167","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0003-2185-1624"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Ant Financial, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Financial, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial, Beijing, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371535","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0001-7493-2650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["Ant Financial, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Ant Financial, Seattle, WA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020086523","display_name":"Shuang Yang","orcid":"https://orcid.org/0000-0003-1133-384X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuang Yang","raw_affiliation_strings":["Ant Financial, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Ant Financial, San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019180907","display_name":"Qi Yuan","orcid":"https://orcid.org/0000-0002-1342-3374"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Qi","raw_affiliation_strings":["Ant Financial, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100745497"],"corresponding_institution_ids":["https://openalex.org/I4210090985"],"apc_list":null,"apc_paid":null,"fwci":7.7482,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97339191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1181","last_page":"1184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6170478463172913},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5572251677513123},{"id":"https://openalex.org/keywords/insurance-fraud","display_name":"Insurance fraud","score":0.5320447683334351},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4901505410671234},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.45065945386886597},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36208122968673706},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.34918004274368286},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.2722444534301758},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.24738803505897522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24629321694374084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6170478463172913},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5572251677513123},{"id":"https://openalex.org/C2778976927","wikidata":"https://www.wikidata.org/wiki/Q838081","display_name":"Insurance fraud","level":2,"score":0.5320447683334351},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4901505410671234},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.45065945386886597},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36208122968673706},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.34918004274368286},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.2722444534301758},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.24738803505897522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24629321694374084},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3331184.3331372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.12789","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.12789","pdf_url":"https://arxiv.org/pdf/2002.12789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3191897481","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002211833327053","pdf_url":null,"source":{"id":"https://openalex.org/S4306500161","display_name":"ACM Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"ACM Proceedings","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.12789","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.12789","pdf_url":"https://arxiv.org/pdf/2002.12789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1982455127","https://openalex.org/W2001245517","https://openalex.org/W2045064676","https://openalex.org/W2100352842","https://openalex.org/W2127311048","https://openalex.org/W2167488165","https://openalex.org/W2613466232","https://openalex.org/W2786460182","https://openalex.org/W2962756421","https://openalex.org/W3121925664","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2361887085","https://openalex.org/W2363508219","https://openalex.org/W2133113660","https://openalex.org/W2378525784","https://openalex.org/W2065281855","https://openalex.org/W1884194129","https://openalex.org/W2781766265","https://openalex.org/W2780623399","https://openalex.org/W2381368019","https://openalex.org/W2775171296"],"abstract_inverted_index":{"Fraudulent":[0],"claim":[1],"detection":[2,98],"is":[3],"one":[4,68],"of":[5,29,37,65,69,113,153],"the":[6,9,24,38,70],"greatest":[7],"challenges":[8],"insurance":[10,39,54],"industry":[11],"faces.":[12],"Alibaba's":[13],"return-freight":[14],"insurance,":[15],"providing":[16],"return-shipping":[17],"postage":[18],"compensations":[19],"over":[20],"product":[21],"return":[22],"on":[23,100],"e-commerce":[25],"platform,":[26],"receives":[27],"thousands":[28],"potentially":[30],"fraudulent":[31,53],"claims":[32],"everyday.":[33],"Such":[34],"deliberate":[35],"abuse":[36],"policy":[40],"could":[41],"lead":[42],"to":[43,49,62,73,104,150],"heavy":[44],"financial":[45,74],"losses.":[46],"In":[47,80],"order":[48],"detect":[50],"and":[51,110,147],"prevent":[52],"claims,":[55],"we":[56,83],"developed":[57],"a":[58,85,134],"novel":[59],"data-driven":[60],"procedure":[61],"identify":[63],"groups":[64,112],"organized":[66,114],"fraudsters,":[67],"major":[71],"contributions":[72],"losses,":[75],"by":[76,91],"learning":[77,102],"network":[78,87],"information.":[79],"this":[81],"paper,":[82],"introduce":[84],"device-sharing":[86],"among":[88],"claimants,":[89],"followed":[90],"developing":[92],"an":[93],"automated":[94],"solution":[95,117],"for":[96],"fraud":[97],"based":[99],"graph":[101],"algorithms,":[103],"separate":[105],"fraudsters":[106],"from":[107],"regular":[108],"customers":[109],"uncover":[111],"fraudsters.":[115],"This":[116],"applied":[118],"at":[119],"Alibaba":[120],"achieves":[121],"more":[122,129],"than":[123],"80%":[124],"precision":[125],"while":[126],"covering":[127],"44%":[128],"suspicious":[130],"accounts":[131],"compared":[132],"with":[133],"previously":[135],"deployed":[136],"rule-based":[137],"classifier":[138],"after":[139],"human":[140],"expert":[141],"investigations.":[142],"Our":[143],"approach":[144],"can":[145],"easily":[146],"effectively":[148],"generalizes":[149],"other":[151],"types":[152],"insurance.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
