{"id":"https://openalex.org/W2803577513","doi":"https://doi.org/10.1109/icnsc.2018.8361343","title":"Random forest for credit card fraud detection","display_name":"Random forest for credit card fraud detection","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2803577513","doi":"https://doi.org/10.1109/icnsc.2018.8361343","mag":"2803577513"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2018.8361343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2018.8361343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017058839","display_name":"Shiyang Xuan","orcid":null},"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":true,"raw_author_name":"Shiyang Xuan","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072386697","display_name":"Guanjun Liu","orcid":"https://orcid.org/0000-0002-7523-4827"},"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":"Guanjun Liu","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070476547","display_name":"Zhenchuan Li","orcid":"https://orcid.org/0000-0002-3175-7087"},"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":"Zhenchuan Li","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079005727","display_name":"Lutao Zheng","orcid":"https://orcid.org/0000-0002-4485-9664"},"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":"Lutao Zheng","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009414213","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0002-2072-2962"},"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":"Shuo Wang","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066099338","display_name":"Changjun Jiang","orcid":"https://orcid.org/0000-0003-0637-9317"},"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":"Changjun Jiang","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5017058839"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":17.9418,"has_fulltext":false,"cited_by_count":366,"citation_normalized_percentile":{"value":0.99286504,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9835000038146973,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"Credit card fraud","score":0.892462968826294},{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.8738627433776855},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.8148772716522217},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6837524175643921},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6749072670936584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685451865196228},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6099224090576172},{"id":"https://openalex.org/keywords/financial-fraud","display_name":"Financial fraud","score":0.508167028427124},{"id":"https://openalex.org/keywords/trojan","display_name":"Trojan","score":0.41379913687705994},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.32342207431793213},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30084991455078125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2760401666164398},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15661892294883728},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.13065704703330994},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1299205720424652},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.11638903617858887}],"concepts":[{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.892462968826294},{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.8738627433776855},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.8148772716522217},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6837524175643921},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6749072670936584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685451865196228},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6099224090576172},{"id":"https://openalex.org/C2985140798","wikidata":"https://www.wikidata.org/wiki/Q28813","display_name":"Financial fraud","level":2,"score":0.508167028427124},{"id":"https://openalex.org/C174333608","wikidata":"https://www.wikidata.org/wiki/Q19635","display_name":"Trojan","level":2,"score":0.41379913687705994},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32342207431793213},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30084991455078125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2760401666164398},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15661892294883728},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.13065704703330994},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1299205720424652},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.11638903617858887}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2018.8361343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2018.8361343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336620","display_name":"Shanghai Shuguang Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W614715210","https://openalex.org/W1534477342","https://openalex.org/W1594031697","https://openalex.org/W1602011302","https://openalex.org/W1724737952","https://openalex.org/W1760882240","https://openalex.org/W1964723226","https://openalex.org/W1970532985","https://openalex.org/W1977860450","https://openalex.org/W2032908054","https://openalex.org/W2045049630","https://openalex.org/W2096266510","https://openalex.org/W2110712520","https://openalex.org/W2122535208","https://openalex.org/W2123166813","https://openalex.org/W2126536530","https://openalex.org/W2127598298","https://openalex.org/W2136903812","https://openalex.org/W2160150610","https://openalex.org/W2272215152","https://openalex.org/W2585459224","https://openalex.org/W2911964244","https://openalex.org/W4236137412","https://openalex.org/W6637836093","https://openalex.org/W6680202767","https://openalex.org/W6694040662","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2483711049","https://openalex.org/W4224237387","https://openalex.org/W3150316110","https://openalex.org/W4313247660","https://openalex.org/W3153799676","https://openalex.org/W2984276143","https://openalex.org/W4281702918","https://openalex.org/W4391267261","https://openalex.org/W4281858644","https://openalex.org/W4283392145"],"abstract_inverted_index":{"Credit":[0],"card":[1,55],"fraud":[2,36,46,74,97,142],"events":[3],"take":[4],"place":[5],"frequently":[6],"and":[7,73,86,117,136],"then":[8,87],"result":[9],"in":[10,47,132,147,155],"huge":[11],"financial":[12],"losses.":[13],"Criminals":[14],"can":[15,43],"use":[16,64],"some":[17],"technologies":[18],"such":[19],"as":[20],"Trojan":[21],"or":[22,98],"Phishing":[23],"to":[24,56,61,76,91,110],"steal":[25],"the":[26,66,112,125],"information":[27],"of":[28,65,105,115,124],"other":[29],"people's":[30],"credit":[31,141],"cards.":[32],"Therefore,":[33],"an":[34,152],"effictive":[35],"detection":[37],"method":[38,59],"is":[39,60,96],"important":[40],"since":[41],"it":[42],"identify":[44],"a":[45,50,53,94,122],"time":[48],"when":[49],"criminal":[51],"uses":[52],"stolen":[54],"consume.":[57],"One":[58],"make":[62,121],"full":[63],"historical":[67],"transaction":[68,95],"data":[69,145],"including":[70],"normal":[71,116],"transactions":[72],"ones":[75],"obtain":[77],"normal/fraud":[78],"behavior":[79,113],"features":[80,90,114],"based":[81],"on":[82,140],"machine":[83],"learning":[84],"techniques,":[85],"utilize":[88],"these":[89],"check":[92],"if":[93],"not.":[99],"In":[100],"this":[101],"paper,":[102],"two":[103,126],"kinds":[104],"random":[106,127],"forests":[107,128],"are":[108,130],"used":[109,146],"train":[111],"abnormal":[118],"transactions.":[119],"We":[120],"comparison":[123],"which":[129],"different":[131],"their":[133,138],"base":[134],"classifiers,":[135],"analyze":[137],"performance":[139],"detection.":[143],"The":[144],"our":[148],"experiments":[149],"come":[150],"from":[151],"e-commerce":[153],"company":[154],"China.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":71},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":65},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":5}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}
