{"id":"https://openalex.org/W4392229329","doi":"https://doi.org/10.53469/jtpes.2024.04(02).04","title":"Enhancing Credit Card Fraud Detection: A Neural Network and SMOTE Integrated Approach","display_name":"Enhancing Credit Card Fraud Detection: A Neural Network and SMOTE Integrated Approach","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392229329","doi":"https://doi.org/10.53469/jtpes.2024.04(02).04"},"language":"en","primary_location":{"id":"doi:10.53469/jtpes.2024.04(02).04","doi":"https://doi.org/10.53469/jtpes.2024.04(02).04","is_oa":true,"landing_page_url":"https://doi.org/10.53469/jtpes.2024.04(02).04","pdf_url":"https://centuryscipub.com/index.php/jtpes/article/download/491/417","source":{"id":"https://openalex.org/S4387279032","display_name":"Journal of Theory and Practice of Engineering Science","issn_l":"2790-1505","issn":["2790-1505"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Theory and Practice of Engineering Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://centuryscipub.com/index.php/jtpes/article/download/491/417","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103137315","display_name":"Mengran Zhu","orcid":"https://orcid.org/0000-0002-1610-8230","observed_orcids":["https://orcid.org/0000-0002-1610-8230"]},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengran Zhu","raw_affiliation_strings":["Miami University, Computer Engineering, Oxford, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Miami University, Computer Engineering, Oxford, OH, USA","institution_ids":["https://openalex.org/I83328450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040679904","display_name":"Ye Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["University of Pittsburgh, Independent Researcher, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Independent Researcher, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113373698","display_name":"Yulu Gong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yulu Gong","raw_affiliation_strings":["Northern Arizona University, Computer & Information Technology, Flagstaff, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northern Arizona University, Computer & Information Technology, Flagstaff, AZ, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100916513","display_name":"Changxin Xu","orcid":"https://orcid.org/0000-0002-6051-0657","observed_orcids":["https://orcid.org/0000-0002-6051-0657","https://orcid.org/0009-0000-3171-6093"]},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changxin Xu","raw_affiliation_strings":["Northern Arizona University, Independent researcher, Flagstaff, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northern Arizona University, Independent researcher, Flagstaff, AZ, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109734482","display_name":"Yafei Xiang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yafei Xiang","raw_affiliation_strings":["Northeastern University, Computer Science, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Computer Science, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5456,"has_fulltext":true,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98594475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"4","issue":"02","first_page":"23","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":1.0,"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":1.0,"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":0.0,"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":0.0,"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/neural-network","display_name":"artificial neural networks","score":0.6909999847412109},{"id":"https://openalex.org/keywords/smote","display_name":"SMOTE","score":0.9980000257492065},{"id":"https://openalex.org/keywords/synthetic-minority-oversampling","display_name":"synthetic minority oversampling","score":0.7580000162124634},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7940000295639038},{"id":"https://openalex.org/keywords/transaction-data","display_name":"transaction data","score":0.4440000057220459},{"id":"https://openalex.org/keywords/fraud-detection","display_name":"fraud detection","score":0.37700000405311584}],"concepts":[{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.8374654054641724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894379258155823},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.6740695238113403},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4976177513599396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4052584171295166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36386850476264954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32822299003601074},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1438879370689392},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.53469/jtpes.2024.04(02).04","doi":"https://doi.org/10.53469/jtpes.2024.04(02).04","is_oa":true,"landing_page_url":"https://doi.org/10.53469/jtpes.2024.04(02).04","pdf_url":"https://centuryscipub.com/index.php/jtpes/article/download/491/417","source":{"id":"https://openalex.org/S4387279032","display_name":"Journal of Theory and Practice of Engineering Science","issn_l":"2790-1505","issn":["2790-1505"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Theory and Practice of Engineering Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2405.00026","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.00026","pdf_url":"https://arxiv.org/pdf/2405.00026","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2405.00026","doi":"https://doi.org/10.48550/arxiv.2405.00026","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2405.00026","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.53469/jtpes.2024.04(02).04","doi":"https://doi.org/10.53469/jtpes.2024.04(02).04","is_oa":true,"landing_page_url":"https://doi.org/10.53469/jtpes.2024.04(02).04","pdf_url":"https://centuryscipub.com/index.php/jtpes/article/download/491/417","source":{"id":"https://openalex.org/S4387279032","display_name":"Journal of Theory and Practice of Engineering Science","issn_l":"2790-1505","issn":["2790-1505"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Theory and Practice of Engineering Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392229329.pdf","grobid_xml":"https://content.openalex.org/works/W4392229329.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W265896103","https://openalex.org/W2085766370","https://openalex.org/W2302255633","https://openalex.org/W2311111523","https://openalex.org/W3009901425","https://openalex.org/W3037068030","https://openalex.org/W3088701987","https://openalex.org/W3133021113","https://openalex.org/W3179695266","https://openalex.org/W3184885349","https://openalex.org/W3184921930","https://openalex.org/W3197896768","https://openalex.org/W4224300633","https://openalex.org/W4234808003","https://openalex.org/W4292828913"],"related_works":["https://openalex.org/W4404020039","https://openalex.org/W4403106475","https://openalex.org/W4411365217","https://openalex.org/W7203824782","https://openalex.org/W4400733142","https://openalex.org/W4390736167","https://openalex.org/W7157822502","https://openalex.org/W4400886352","https://openalex.org/W4409338199","https://openalex.org/W4410453336"],"abstract_inverted_index":{"Credit":[0],"card":[1,49,94],"fraud":[2,60,95],"detection":[3,39,96],"is":[4],"a":[5],"critical":[6],"challenge":[7],"in":[8,47,92],"the":[9,38,44,65,102],"financial":[10,113],"sector,":[11],"demanding":[12],"sophisticated":[13],"approaches":[14],"to":[15,36,78,101,105],"accurately":[16],"identify":[17],"fraudulent":[18,116],"transactions.":[19],"This":[20,98],"research":[21,99],"proposes":[22],"an":[23,85],"innovative":[24],"methodology":[25],"combining":[26],"Neural":[27],"Networks":[28],"(NN)":[29],"and":[30,58,69,75,108],"Synthetic":[31],"Minority":[32],"Over-sampling":[33],"Technique":[34],"(SMOTE)":[35],"enhance":[37],"performance.":[40],"The":[41],"study":[42],"addresses":[43],"inherent":[45],"imbalance":[46],"credit":[48,93],"transaction":[50],"data,":[51],"focusing":[52],"on":[53],"technical":[54],"advancements":[55],"for":[56,88,111],"robust":[57],"precise":[59],"detection.":[61],"Results":[62],"demonstrate":[63],"that":[64],"integration":[66],"of":[67],"NN":[68],"SMOTE":[70],"exhibits":[71],"superior":[72],"precision,":[73],"recall,":[74],"F1-score":[76],"compared":[77],"traditional":[79],"models,":[80],"highlighting":[81],"its":[82],"potential":[83],"as":[84],"advanced":[86],"solution":[87],"handling":[89],"imbalanced":[90],"datasets":[91],"scenarios.":[97],"contributes":[100],"ongoing":[103],"efforts":[104],"develop":[106],"effective":[107],"efficient":[109],"mechanisms":[110],"safeguarding":[112],"transactions":[114],"from":[115],"activities.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":47},{"year":2024,"cited_by_count":20}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2024-03-05T00:00:00"}
