{"id":"https://openalex.org/W4252059645","doi":"https://doi.org/10.35940/ijrte.f8182.059120","title":"Credit Card Fraud Detection in Data Mining u sing XGBoost Classifier","display_name":"Credit Card Fraud Detection in Data Mining u sing XGBoost Classifier","publication_year":2020,"publication_date":"2020-05-30","ids":{"openalex":"https://openalex.org/W4252059645","doi":"https://doi.org/10.35940/ijrte.f8182.059120"},"language":"en","primary_location":{"id":"doi:10.35940/ijrte.f8182.059120","doi":"https://doi.org/10.35940/ijrte.f8182.059120","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijrte.f8182.059120","pdf_url":null,"source":{"id":"https://openalex.org/S4210169567","display_name":"International Journal of Recent Technology and Engineering (IJRTE)","issn_l":"2277-3878","issn":["2277-3878"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Recent Technology and Engineering (IJRTE)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.35940/ijrte.f8182.059120","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rahul Goyal*","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahul Goyal*","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021597883","display_name":"Amit Kumar Manjhvar","orcid":"https://orcid.org/0000-0002-9577-6295","observed_orcids":["https://orcid.org/0000-0002-9577-6295"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Kumar Manjhvar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042012269","display_name":"Vikas Sejwar","orcid":"https://orcid.org/0000-0003-2578-8052","observed_orcids":["https://orcid.org/0000-0003-2578-8052"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vikas Sejwar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0844,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.48633911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"9","issue":"1","first_page":"603","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":9.999999747378752e-05,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/credit-card-fraud-detection","display_name":"credit card fraud detection","score":1.0},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.9950000047683716},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.8730000257492065},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7879999876022339},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.5839999914169312},{"id":"https://openalex.org/keywords/transaction-data","display_name":"transaction data","score":0.5149999856948853},{"id":"https://openalex.org/keywords/roc-curve","display_name":"ROC curve","score":0.5609999895095825}],"concepts":[{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.7802504301071167},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.665961742401123},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.6636252999305725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384217143058777},{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.6145636439323425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3633042573928833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36297473311424255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3428235352039337},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12922075390815735}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.35940/ijrte.f8182.059120","doi":"https://doi.org/10.35940/ijrte.f8182.059120","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijrte.f8182.059120","pdf_url":null,"source":{"id":"https://openalex.org/S4210169567","display_name":"International Journal of Recent Technology and Engineering (IJRTE)","issn_l":"2277-3878","issn":["2277-3878"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Recent Technology and Engineering (IJRTE)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.35940/ijrte.f8182.059120","doi":"https://doi.org/10.35940/ijrte.f8182.059120","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijrte.f8182.059120","pdf_url":null,"source":{"id":"https://openalex.org/S4210169567","display_name":"International Journal of Recent Technology and Engineering (IJRTE)","issn_l":"2277-3878","issn":["2277-3878"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Recent Technology and Engineering (IJRTE)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4214912866","https://openalex.org/W7117990366","https://openalex.org/W4220997258","https://openalex.org/W7215944710","https://openalex.org/W4328095739","https://openalex.org/W7160859337","https://openalex.org/W4281960656","https://openalex.org/W7204889485","https://openalex.org/W4323021675","https://openalex.org/W4400205859"],"abstract_inverted_index":{"In":[0,137],"today's":[1],"economy,":[2],"credit":[3,35,52,148],"card":[4,53,149],"(CC)":[5],"plays":[6],"a":[7,16,81,103],"major":[8],"role.":[9],"It":[10],"is":[11,164,227,249],"an":[12,196,239],"inevitable":[13],"part":[14],"of":[15,69,86,90,95,115,125,144,181,242,247],"household,":[17],"business":[18],"&":[19,36,215,218,257],"global":[20,83],"business.":[21],"While":[22],"using":[23],"CCs":[24],"can":[25,39],"offer":[26],"huge":[27,88],"advantages":[28],"if":[29],"used":[30,172],"cautiously":[31],"and":[32,76,92,133,154,186],"safely,":[33],"significant":[34,82],"financial":[37],"damage":[38],"be":[40],"incurred":[41],"by":[42],"fraudulent":[43],"activity.":[44],"Several":[45],"methods":[46],"to":[47,65,199,212,222],"deal":[48],"with":[49,160],"the":[50,87,93,113,123,142,145,161,168,223,229,233,243,260,268],"rising":[51],"fraud":[54,150],"(CCF)":[55],"have":[56],"been":[57],"suggested.":[58],"Both":[59],"such":[60],"strategies,":[61],"though,":[62],"are":[63,118],"meant":[64],"prevent":[66],"CCFs;":[67],"each":[68],"them":[70],"has":[71,79],"its":[72],"own":[73],"drawbacks,":[74],"benefits,":[75],"functions.":[77],"CCF":[78,190],"become":[80],"concern":[84],"because":[85],"growth":[89],"e-commerce":[91],"proliferation":[94],"payment":[96],"online.":[97],"Machine":[98],"learning":[99],"(ML)":[100],"algo":[101],"as":[102],"data":[104,128,170],"mining":[105],"technology":[106],"(DM)":[107],"was":[108],"recently":[109],"very":[110],"involved":[111],"in":[112,147,167,173,188],"detection":[114,151],"CCF.":[116],"There":[117],"however":[119],"several":[120],"challenges,":[121],"including":[122],"absence":[124],"publicly":[126,165],"available":[127,166],"sets,":[129],"high":[130],"unbalanced":[131],"size,":[132],"different":[134],"confusing":[135],"behavior.":[136],"this":[138],"paper,":[139],"we":[140,176],"discuss":[141],"state":[143],"art":[146],"(CCFD),":[152],"dataset":[153],"assessment":[155],"standards":[156],"after":[157],"analyzing":[158],"issues":[159],"CCFD.":[162],"Dataset":[163],"CCFD":[169],"set":[171],"experiments.":[174],"Here,":[175],"compare":[177],"two":[178],"ML":[179],"algos":[180],"performance:":[182],"Logistic":[183],"Regression":[184],"(LR)":[185],"XGBoost":[187,204,244],"detecting":[189],"Transactions":[191],"Real":[192],"Life":[193],"Data.":[194],"XGBoosthas":[195],"inherent":[197],"ability":[198],"handle":[200],"missing":[201],"values.":[202],"When":[203],"encounters":[205],"node":[206],"at":[207],"lost":[208],"value,":[209],"it":[210],"tries":[211],"split":[213],"left":[214],"right":[216],"hands":[217],"learn":[219],"all":[220],"ways":[221],"highest":[224],"loss.":[225],"This":[226],"when":[228],"test":[230],"runs":[231],"on":[232,254,267],"data.":[234],"The":[235],"experimental":[236],"results":[237],"show":[238],"effective":[240],"use":[241],"classifier.":[245],"Technique":[246],"performance":[248],"widely":[250],"accepted":[251],"metric":[252],"based":[253,266],"exclusion:":[255],"accuracy":[256],"recall.":[258],"Also,":[259],"comparison":[261],"between":[262],"both":[263],"approaches":[264],"displayed":[265],"ROC":[269],"curve.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-05-12T00:00:00"}