{"id":"https://openalex.org/W2998046181","doi":"https://doi.org/10.1109/icccnt45670.2019.8944885","title":"A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection","display_name":"A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2998046181","doi":"https://doi.org/10.1109/icccnt45670.2019.8944885","mag":"2998046181"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt45670.2019.8944885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt45670.2019.8944885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068907604","display_name":"Debashree Devi","orcid":"https://orcid.org/0000-0002-2750-9814"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debashree Devi","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Silchar, Silcahr, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Silchar, Silcahr, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112248175","display_name":"Saroj K. Biswas","orcid":"https://orcid.org/0000-0001-5812-4047"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saroj. K. Biswas","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Silchar, Silcahr, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Silchar, Silcahr, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043818101","display_name":"Biswajit Purkayastha","orcid":"https://orcid.org/0009-0003-7302-2585"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biswajit Purkayastha","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Silchar, Silcahr, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Silchar, Silcahr, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151903974"],"apc_list":null,"apc_paid":null,"fwci":2.2821,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91891403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9907000064849854,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8186622858047485},{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"Credit card fraud","score":0.7958112359046936},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.7723479270935059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397855520248413},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.5665078163146973},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5526203513145447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5457493662834167},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4691416621208191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4677842855453491},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4424033463001251},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4177585244178772},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3397405743598938},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2780963182449341},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16635310649871826},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.12613314390182495},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07409244775772095}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8186622858047485},{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.7958112359046936},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.7723479270935059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397855520248413},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.5665078163146973},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5526203513145447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5457493662834167},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4691416621208191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4677842855453491},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4424033463001251},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4177585244178772},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3397405743598938},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2780963182449341},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16635310649871826},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.12613314390182495},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07409244775772095},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt45670.2019.8944885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt45670.2019.8944885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W321037060","https://openalex.org/W1579812256","https://openalex.org/W2040661907","https://openalex.org/W2085548088","https://openalex.org/W2119101338","https://openalex.org/W2122025464","https://openalex.org/W2163614729","https://openalex.org/W2170505850","https://openalex.org/W2284041800","https://openalex.org/W2336183141","https://openalex.org/W2405680064","https://openalex.org/W2772947247","https://openalex.org/W2803577513","https://openalex.org/W2803659477","https://openalex.org/W2807938290","https://openalex.org/W2911964244","https://openalex.org/W3129390818","https://openalex.org/W3156407258","https://openalex.org/W4238297360","https://openalex.org/W4285719527","https://openalex.org/W4386542944","https://openalex.org/W6683915439","https://openalex.org/W6694040662","https://openalex.org/W6696039121","https://openalex.org/W6703317063","https://openalex.org/W6713460339","https://openalex.org/W6752335749","https://openalex.org/W6790396414","https://openalex.org/W6794346248"],"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/W4384521853"],"abstract_inverted_index":{"The":[0,117,131,149,164],"act":[1],"of":[2,18,47,55,69,100,126,151,171],"fraudulent":[3],"credit":[4,48,70,87,146],"card":[5,49,71,88,147],"transaction":[6,35],"has":[7,82,93,134,154],"been":[8,83,94,135,155],"increased":[9],"over":[10],"the":[11,16,52,56,60,97,112,127,152,169,172,176],"past":[12],"recent":[13],"years,":[14],"as":[15],"era":[17],"digitization":[19],"hits":[20],"our":[21],"day-to-day":[22],"life,":[23],"with":[24,137],"people":[25],"are":[26,119],"getting":[27],"more":[28,109],"involved":[29],"in":[30,45,67,96,103,157],"online":[31,34],"banking":[32],"and":[33,161],"system.":[36],"Machine":[37],"learning":[38],"algorithms":[39,63],"have":[40,167],"played":[41],"a":[42,76],"significant":[43],"role":[44],"detection":[46,68],"frauds.":[50],"However,":[51],"unbalanced":[53],"nature":[54],"real-life":[57],"datasets":[58],"causes":[59],"traditional":[61],"classification":[62],"to":[64,107,111,122],"perform":[65],"low":[66],"fraud.":[72],"In":[73],"this":[74],"work,":[75],"cost-sensitive":[77],"weighted":[78],"random":[79],"forest":[80],"algorithm":[81],"proposed":[84,132,173],"for":[85,143],"effective":[86],"fraud":[89],"detection.":[90],"A":[91],"cost-function":[92],"defined":[95],"training":[98],"phase":[99],"each":[101],"tree,":[102],"bagging":[104],"which":[105],"emphasizes":[106],"assign":[108],"weight":[110],"minority":[113,128],"instances":[114],"during":[115],"training.":[116],"trees":[118],"ranked":[120],"according":[121],"their":[123],"predictive":[124],"ability":[125],"class":[129],"instances.":[130],"work":[133],"compared":[136],"two":[138,144],"existing":[139,177],"random-forest":[140],"based":[141],"techniques":[142],"binary":[145],"datasets.":[148],"efficiency":[150],"model":[153],"evaluated":[156],"terms":[158],"G-mean,":[159],"F-measure":[160],"AUC":[162],"values.":[163],"experimental":[165],"results":[166],"established":[168],"proficiency":[170],"model,":[174],"than":[175],"ones.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}