{"id":"https://openalex.org/W6929467385","doi":"https://doi.org/10.48550/arxiv.1009.6119","title":"A Comprehensive Survey of Data Mining-based Fraud Detection Research","display_name":"A Comprehensive Survey of Data Mining-based Fraud Detection Research","publication_year":2010,"publication_date":"2010-09-30","ids":{"openalex":"https://openalex.org/W6929467385","doi":"https://doi.org/10.48550/arxiv.1009.6119"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.1009.6119","doi":"https://doi.org/10.48550/arxiv.1009.6119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1009.6119","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":"article-journal"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.1009.6119","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110325543","display_name":"Clifton Phua","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Phua, Clifton","raw_affiliation_strings":["School of Business Systems , Faculty of Information Technology , Monash University , Clayton campus , Wellington Road , Clayton , Victoria 3800 , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Systems , Faculty of Information Technology , Monash University , Clayton campus , Wellington Road , Clayton , Victoria 3800 , Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lee, Vincent","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lee, Vincent","raw_affiliation_strings":["School of Business Systems , Faculty of Information Technology , Monash University , Clayton campus , Wellington Road , Clayton , Victoria 3800 , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Systems , Faculty of Information Technology , Monash University , Clayton campus , Wellington Road , Clayton , Victoria 3800 , Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Smith, Kate","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Smith, Kate","raw_affiliation_strings":["School of Business Systems , Faculty of Information Technology , Monash University , Clayton campus , Wellington Road , Clayton , Victoria 3800 , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Systems , Faculty of Information Technology , Monash University , Clayton campus , Wellington Road , Clayton , Victoria 3800 , Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080206968","display_name":"Ross W. Gayler","orcid":"https://orcid.org/0000-0003-4679-585X","observed_orcids":["https://orcid.org/0000-0003-4679-585X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gayler, Ross","raw_affiliation_strings":["Baycorp Advantage , Level 12 , 628 Bourke Street , Melbourne , VIC 3000 , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baycorp Advantage , Level 12 , 628 Bourke Street , Melbourne , VIC 3000 , Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":782,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.7567999958992004,"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":0.7567999958992004,"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/T13720","display_name":"Benford\u2019s Law and Fraud Detection","score":0.18410000205039978,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.020800000056624413,"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/fraud-detection","display_name":"fraud detection","score":0.9179999828338623},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.9049999713897705},{"id":"https://openalex.org/keywords/automated-fraud-detection","display_name":"automated fraud detection","score":0.8169999718666077},{"id":"https://openalex.org/keywords/fraud-types","display_name":"fraud types","score":0.6370000243186951},{"id":"https://openalex.org/keywords/commercial-fraud","display_name":"commercial fraud","score":0.6759999990463257},{"id":"https://openalex.org/keywords/cost-reduction","display_name":"cost reduction","score":0.6140000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6044999957084656},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6028000116348267},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.597000002861023},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3427000045776367},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C173481278","wikidata":"https://www.wikidata.org/wiki/Q7257997","display_name":"Survey research","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C73945780","wikidata":"https://www.wikidata.org/wiki/Q814232","display_name":"Survey methodology","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C49895821","wikidata":"https://www.wikidata.org/wiki/Q5227368","display_name":"Data verification","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.1009.6119","doi":"https://doi.org/10.48550/arxiv.1009.6119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1009.6119","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":"article-journal"}],"best_oa_location":{"id":"doi:10.48550/arxiv.1009.6119","doi":"https://doi.org/10.48550/arxiv.1009.6119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1009.6119","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":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7216923728","https://openalex.org/W2911817394","https://openalex.org/W3135637956","https://openalex.org/W2567163516","https://openalex.org/W4232889404","https://openalex.org/W2754737095","https://openalex.org/W3159916456","https://openalex.org/W7095225108","https://openalex.org/W2085766370","https://openalex.org/W7096064633"],"abstract_inverted_index":{"This":[0],"survey":[1,81],"paper":[2],"categorises,":[3],"compares,":[4],"and":[5,12,33,38,66,87,102],"summarises":[6],"from":[7,104],"almost":[8],"all":[9,74],"published":[10],"technical":[11,85],"review":[13],"articles":[14,86],"in":[15],"automated":[16],"fraud":[17,78],"detection":[18],"within":[19,46],"the":[20,26,30,40,50,55,89,93],"last":[21],"10":[22],"years.":[23],"It":[24],"defines":[25],"professional":[27],"fraudster,":[28],"formalises":[29],"main":[31],"types":[32],"subtypes":[34],"of":[35,42,53,95],"known":[36],"fraud,":[37],"presents":[39,64],"nature":[41],"data":[43,56,101],"evidence":[44],"collected":[45],"affected":[47],"industries.":[48],"Within":[49],"business":[51],"context":[52],"mining":[54],"to":[57,73,92],"achieve":[58],"higher":[59],"cost":[60],"savings,":[61],"this":[62,80],"research":[63],"methods":[65],"techniques":[67],"together":[68],"with":[69],"their":[70],"problems.":[71],"Compared":[72],"related":[75,105],"reviews":[76],"on":[77],"detection,":[79],"covers":[82],"much":[83],"more":[84],"is":[88],"only":[90],"one,":[91],"best":[94],"our":[96],"knowledge,":[97],"which":[98],"proposes":[99],"alternative":[100],"solutions":[103],"domains.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":102},{"year":2025,"cited_by_count":127},{"year":2024,"cited_by_count":68},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":54},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":57},{"year":2018,"cited_by_count":49},{"year":2017,"cited_by_count":32},{"year":2016,"cited_by_count":33},{"year":2015,"cited_by_count":37},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":17}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2025-10-10T00:00:00"}