{"id":"https://openalex.org/W3023056190","doi":"https://doi.org/10.1109/tdsc.2020.2991872","title":"Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services","display_name":"Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services","publication_year":2020,"publication_date":"2020-05-05","ids":{"openalex":"https://openalex.org/W3023056190","doi":"https://doi.org/10.1109/tdsc.2020.2991872","mag":"3023056190"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2020.2991872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tdsc.2020.2991872","pdf_url":"https://ieeexplore.ieee.org/ielx7/8858/9625881/09085905.pdf","source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/8858/9625881/09085905.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100417007","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-4752-0316"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4752-0316","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054508795","display_name":"Hangyu Zhu","orcid":"https://orcid.org/0000-0001-7221-9130"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangyu Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7221-9130","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":5.7143,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96263363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"19","issue":"1","first_page":"301","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9972000122070312,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7559119462966919},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.6759605407714844},{"id":"https://openalex.org/keywords/behavioral-modeling","display_name":"Behavioral modeling","score":0.5742301344871521},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5440941452980042},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4547351002693176},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44223514199256897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43278056383132935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42520871758461},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.41388311982154846},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3268882632255554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32501572370529175},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.2001475989818573},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13290056586265564},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12385004758834839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559119462966919},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.6759605407714844},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.5742301344871521},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5440941452980042},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4547351002693176},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44223514199256897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43278056383132935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42520871758461},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.41388311982154846},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3268882632255554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32501572370529175},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.2001475989818573},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13290056586265564},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12385004758834839}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2020.2991872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tdsc.2020.2991872","pdf_url":"https://ieeexplore.ieee.org/ielx7/8858/9625881/09085905.pdf","source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tdsc.2020.2991872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tdsc.2020.2991872","pdf_url":"https://ieeexplore.ieee.org/ielx7/8858/9625881/09085905.pdf","source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1754873590","display_name":"\u9762\u5411\u7ebf\u4e0a\u8eab\u4efd\u8ba4\u8bc1\u7684\u7528\u6237\u5408\u6210\u884c\u4e3a\u5efa\u6a21\u53ca\u6027\u80fd\u57fa\u672c\u6781\u9650\u7814\u7a76","funder_award_id":"61972287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023056190.pdf","grobid_xml":"https://content.openalex.org/works/W3023056190.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W629558026","https://openalex.org/W2017481266","https://openalex.org/W2125490153","https://openalex.org/W2154868463","https://openalex.org/W2187846933","https://openalex.org/W2195256693","https://openalex.org/W2230089931","https://openalex.org/W2241660235","https://openalex.org/W2295598076","https://openalex.org/W2324464293","https://openalex.org/W2325135768","https://openalex.org/W2438985978","https://openalex.org/W2555060845","https://openalex.org/W2560850469","https://openalex.org/W2564068158","https://openalex.org/W2567312369","https://openalex.org/W2587446185","https://openalex.org/W2591830932","https://openalex.org/W2605266158","https://openalex.org/W2614763420","https://openalex.org/W2616431611","https://openalex.org/W2619937264","https://openalex.org/W2743104969","https://openalex.org/W2743269056","https://openalex.org/W2745475103","https://openalex.org/W2755051898","https://openalex.org/W2767774008","https://openalex.org/W2772021946","https://openalex.org/W2786997513","https://openalex.org/W2794584741","https://openalex.org/W2799027006","https://openalex.org/W2799668176","https://openalex.org/W2806763555","https://openalex.org/W2809261451","https://openalex.org/W2884266921","https://openalex.org/W2891813744","https://openalex.org/W2895654512","https://openalex.org/W2896429681","https://openalex.org/W2912761429","https://openalex.org/W2914962778","https://openalex.org/W2951970377","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963707260","https://openalex.org/W2964184494","https://openalex.org/W3098923689","https://openalex.org/W3099827099","https://openalex.org/W3105479728","https://openalex.org/W6678830454","https://openalex.org/W6689291093","https://openalex.org/W6713065523"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4285822549","https://openalex.org/W1998629988"],"abstract_inverted_index":{"The":[0,118],"vigorous":[1],"development":[2],"of":[3,73,105,121,147,156],"e-commerce":[4],"breeds":[5],"cybercrime.":[6],"Online":[7],"payment":[8,35,150],"fraud":[9,36,151],"detection,":[10],"a":[11,30,41,78,134],"challenge":[12,43],"faced":[13],"by":[14,49,76,126,172],"online":[15,34,148],"service,":[16],"plays":[17],"an":[18],"important":[19],"role":[20],"in":[21],"rapidly":[22],"evolving":[23],"e-commerce.":[24],"Behavior-based":[25],"methods":[26],"are":[27],"recognized":[28],"as":[29,109],"promising":[31],"method":[32,123],"for":[33,65,102,168],"detection.":[37,152],"However,":[38],"it":[39],"is":[40,124,160],"big":[42],"to":[44,88,164],"build":[45],"high-resolution":[46],"behavioral":[47,52,66,106,141],"models":[48,142,171],"using":[50,77],"low-quality":[51],"data.":[53],"In":[54],"this":[55,60,159],"work,":[56],"we":[57,82,96],"mainly":[58],"address":[59],"problem":[61],"from":[62,133],"data":[63,166],"enhancement":[64,167],"modeling.":[67],"We":[68],"extract":[69],"fine-grained":[70],"co-occurrence":[71,179],"relationships":[72],"transactional":[74],"attributes":[75],"knowledge":[79],"graph.":[80],"Furthermore,":[81],"adopt":[83],"the":[84,110,127,130,145,154,161],"heterogeneous":[85],"network":[86,99,174],"embedding":[87,100,175],"learn":[89],"and":[90,115],"improve":[91,143],"representing":[92],"comprehensive":[93],"relationships.":[94,180],"Particularly,":[95],"explore":[97],"customized":[98],"schemes":[101],"different":[103],"types":[104],"models,":[107,112,114],"such":[108],"population-level":[111],"individual-level":[113],"generalized-agent-based":[116],"models.":[117],"performance":[119,146],"gain":[120],"our":[122,157],"validated":[125],"experiments":[128],"over":[129],"real":[131],"dataset":[132],"commercial":[135],"bank.":[136],"It":[137],"can":[138],"help":[139],"representative":[140],"significantly":[144],"banking":[149],"To":[153],"best":[155],"knowledge,":[158],"first":[162],"work":[163],"realize":[165],"diversified":[169],"behavior":[170],"implementing":[173],"algorithms":[176],"on":[177],"attribute-level":[178]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
